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Legitimacy in Open-Source AI Governance: Authority, Capability, and the Tension Between Constraint and Participation

Open access
Yike Huang·2026·The University of North Carolina at Chapel Hill University Libraries

Abstract

This study deals with the governance of artificial intelligence as a core policy issue, with particular attention to open-source AI systems and the implications for governance and oversight. It was prompted by the increasing availability of powerful technologies facilitated by open-source AI systems and the challenges this poses for governance and oversight. An understanding of how open-source AI systems are governed is crucial for building systems that are effective and justifiable at a societal level. This study develops a normative framework for evaluating open-source AI governance and applies it to a comparative analysis of the governance systems of three major economies: China, the United States, and the European Union. It seeks to understand how these systems govern, who is held accountable for this governance, and how participation in governance is structured. It applies a qualitative comparative institutional approach to its analysis of three core policy instruments: China's Generative AI Measures, the U.S. Executive Order 14110, and the EU Artificial Intelligence Act. These systems are examined using a dual normative approach combining Rawls' procedural justice and Sen's capability approach. The study finds that open-source AI governance systems differ in how they balance authority and participation: centralized authority and low contestability in China, dispersed governance and high concentrated private capacity in the United States, and procedural safeguards and high participation thresholds in the European Union. In all three systems, openness is no guarantee of legitimacy in authority and participation. Study concludes that open-source AI governance is characterized by a structural tension between limiting power and facilitating participation. Effective governance requires authority systems that limit power and enhance participation, yet these two requirements often clash.

Overview

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Written from the paper’s full text.

TL;DR

The thesis develops a normative framework combining Rawlsian procedural justice and Sen’s capability approach to evaluate open-source AI governance, then applies it comparatively to China, the United States, and the European Union. It argues that openness alone does not guarantee legitimate authority or inclusive participation, and that open-source AI governance faces a structural tension between constraining power and enabling participation.

Key findings

  • Across the three regimes, authority and participation are balanced differently: China shows centralized authority and low contestability; the United States shows dispersed governance and high concentrated private capacity; the European Union shows procedural safeguards and high participation thresholds (Abstract).
  • In all three systems, openness is no guarantee of legitimacy in authority and participation (Abstract).
  • Formal openness does not guarantee inclusive participation because meaningful engagement depends on computational infrastructure, technical expertise, and regulatory literacy (Ch. 5–6).
  • AI governance institutions face persistent structural tensions: procedural safeguards may increase compliance and administrative burdens, while permissive environments may expand entry but leave authority insufficiently constrained (Ch. 5–6).

Methods

  • Qualitative comparative institutional analysis of three core policy instruments: China’s Generative AI Measures, U.S. Executive Order 14110, and the EU Artificial Intelligence Act (Abstract; Ch. 3).
  • Data are official policy and regulatory documents; provisions are extracted and classified into four governance dimensions: institutional authority, transparency/oversight, responsibility allocation, and participation conditions (Ch. 3).
  • The analysis evaluates these institutional structures using Rawlsian procedural justice for authority and Sen’s capability approach for participation, with welfare-oriented reasoning used only to explain policy motivations (Ch. 3, Ch. 5).

Limitations

  • Paper-stated: document-based analysis cannot fully evaluate implementation, enforcement, or behavioral outcomes; the comparative scope is limited to China, the EU, and the United States; and the normative framework is limited to Rawlsian procedural justice and the capability approach, with interpretive judgment required (Ch. 3.5, Ch. 6.3).
  • Evident from the text: the study does not measure policy effectiveness or real-world outcomes, and its selection of three authoritative documents is not claimed to exhaust all relevant governance activity (Ch. 3.3, Ch. 3.5).

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  • Findingreasoning
    § Abstract

    In all three systems (China, the United States, and the European Union), openness is no guarantee of legitimacy in authority and participation.

    “In all three systems, openness is no guarantee of legitimacy in authority and participation.”
    Quote in the paperSubstantial claim
  • Findingown data
    § Abstract

    Open-source AI governance systems in China, the United States, and the European Union differ in how they balance authority and participation.

    “The study finds that open-source AI governance systems differ in how they balance authority and participation: centralized authority and low contestability in China, dispersed governance and high concentrated private capacity in the United States, and procedural safeguards and high participation thresholds in the European Union.”
    Quote in the paperSubstantial claim
  • Findingcitation
    § 4.1 Authority

    The Interim Measures assign supervisory responsibility to a range of existing government departments, including those responsible for cyberspace governance, industrial policy, public security, and media administration, each acting within its established mandate.

    “The Interim Measures for the Management of Generative Artificial Intelligence Services assign supervisory responsibility to a range of existing government departments, including those responsible for cyberspace governance, industrial policy, public security, and media administration, each acting within its established mandate (Interim Measures, Art. 16).”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites Interim Measures, Art. 16

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

    • The authors state this as an assumption: Policy texts function as institutional artifacts rather than merely statements of political intention.
  • Findingcitation
    § 4.2 Transparency

    The EU AI Act establishes specific disclosure obligations for certain uses of AI, including cases in which individuals interact with AI systems or are exposed to AI-generated or manipulated content.

    “In addition, the Act establishes specific disclosure obligations for certain uses of AI, including cases in which individuals interact with AI systems or are exposed to AI-generated or manipulated content.”
    Quote in the paperNot a substantial claim
    • The authors state this as an assumption: Policy texts function as institutional artifacts rather than merely statements of political intention.
  • Findingcitation
    § 4.2 Transparency

    The United States structures transparency through evaluation, reporting, and technical standards.

    “The United States adopts a different approach, structuring transparency through evaluation, reporting, and technical standards.”
    Quote in the paperSubstantial claim
    • The authors state this as an assumption: Policy texts function as institutional artifacts rather than merely statements of political intention.
  • It may state two separate claims as one. 109
  • Probably not a substantial claim. 102
  • The quote only partly states this claim. 2
  • It may state two separate claims as one.

    Findingown data
    § Abstract

    China's open-source AI governance is characterized by centralized authority and low contestability.

    “The study finds that open-source AI governance systems differ in how they balance authority and participation: centralized authority and low contestability in China, dispersed governance and high concentrated private capacity in the United States, and procedural safeguards and high participation thresholds in the European Union.”
    Quote in the paperSubstantial claim
  • It may state two separate claims as one.

    Findingown data
    § Abstract

    The United States' open-source AI governance is characterized by dispersed governance and high concentrated private capacity.

    “The study finds that open-source AI governance systems differ in how they balance authority and participation: centralized authority and low contestability in China, dispersed governance and high concentrated private capacity in the United States, and procedural safeguards and high participation thresholds in the European Union.”
    Quote in the paperSubstantial claim
  • It may state two separate claims as one.

    Findingown data
    § Abstract

    The European Union's open-source AI governance is characterized by procedural safeguards and high participation thresholds.

    “The study finds that open-source AI governance systems differ in how they balance authority and participation: centralized authority and low contestability in China, dispersed governance and high concentrated private capacity in the United States, and procedural safeguards and high participation thresholds in the European Union.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim. The paper may give no reason why it holds.

    Findingnone given
    § 4.1 Authority

    In China, the allocation of authority reflects a strategy of administrative integration rather than regulatory specialization.

    “In China, the allocation of authority reflects a strategy of administrative integration rather than regulatory specialization.”
    Quote in the paperNot a substantial claim
    • The authors state this as an assumption: Policy texts function as institutional artifacts rather than merely statements of political intention.
  • It may state two separate claims as one.

    Findingcitation
    § 4.1 Authority

    Executive Order 14110 does not establish a centralized regulator for artificial intelligence; it articulates a government-wide approach in which executive departments and agencies act within their existing statutory mandates.

    “Executive Order 14110 does not establish a centralized regulator for artificial intelligence. Instead, it articulates a government-wide approach in which executive departments and agencies act within their existing statutory mandates (EO 14110).”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites EO 14110

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

    • The authors state this as an assumption: Policy texts function as institutional artifacts rather than merely statements of political intention.
  • Probably not a substantial claim.

    Findingcitation
    § 4.2 Transparency

    Article 12 of the Interim Measures requires that generated content such as images and video be appropriately labeled in accordance with regulatory requirements.

    “Article 12 further requires that generated content such as images and video be appropriately labeled in accordance with regulatory requirements (Art. 12)”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites Art. 12

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

    • The authors state this as an assumption: Policy texts function as institutional artifacts rather than merely statements of political intention.
  • Probably not a substantial claim.

    Findingcitation
    § 4.2 Transparency

    Article 7 of the Interim Measures requires that training data processing comply with applicable legal standards, including requirements relating to legality, intellectual property protection, and personal information governance.

    “Article 7 requires that training data processing comply with applicable legal standards, including requirements relating to legality, intellectual property protection, and personal information governance (Interim Measures, Art. 7).”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites Interim Measures, Art. 7

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

    • The authors state this as an assumption: Policy texts function as institutional artifacts rather than merely statements of political intention.
  • Probably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.

    Findingcitation
    § 4.2 Transparency

    For high-risk systems, the EU Regulation requires the preparation of technical documentation, the maintenance of records, and the provision of instructions for use, ensuring that both regulators and deployers can assess system characteristics, capabilities, and limitations.

    “For high-risk systems, the Regulation requires the preparation of technical documentation, the maintenance of records, and the provision of instructions for use, ensuring that both regulators and deployers can assess system characteristics, capabilities, and limitations.”
    Quote in the paperNot a substantial claim
    • The authors state this as an assumption: Policy texts function as institutional artifacts rather than merely statements of political intention.
  • Probably not a substantial claim. The paper’s conclusions may not depend on it. The paper may give no reason why it holds.

    Findingnone given
    § 4.2 Transparency

    In China, transparency is structured primarily as administrative visibility.

    “In China, transparency is structured primarily as administrative visibility.”
    Quote in the paperNot a substantial claim
    • The authors state this as an assumption: Policy texts function as institutional artifacts rather than merely statements of political intention.
  • It may state two separate claims as one.

    Findingreasoning
    § 4.1 Authority

    The EU Regulation identifies categories of actors-such as providers, deployers, and supervisory authorities-and assigns them defined roles within a multi-level system operating across Union and national levels.

    “The Regulation identifies categories of actors— such as providers, deployers, and supervisory authorities—and assigns them defined roles within a multi-level system that operates across both Union and national levels.”
    Quote in the paperSubstantial claim
    • The authors state this as an assumption: Policy texts function as institutional artifacts rather than merely statements of political intention.
  • It may state two separate claims as one.

    Findingreasoning
    § 5.6

    The European Union embeds governance authority within juridified regulatory structures that institutionalize constraint and review, though often at the cost of increased procedural complexity.

    “The European Union embeds governance authority within juridified regulatory structures that institutionalize constraint and review, though often at the cost of increased procedural complexity.”
    Quote in the paperSubstantial claim
  • It may state two separate claims as one.

    Findingnone given
    § 5.6

    The United States disperses authority across multiple institutions, generating plural pathways of contestation while producing ambiguity in responsibility and oversight.

    “The United States disperses authority across multiple institutions, generating plural pathways of contestation while producing ambiguity in responsibility and oversight.”
    Quote in the paperNot a substantial claim
  • It may state two separate claims as one.

    Findingnone given
    § 5.6

    China's model provides administrative determinacy and centralized oversight but limits institutionalized revisability.

    “China’s model provides administrative determinacy and centralized oversight but limits institutionalized revisability.”
    Quote in the paperNot a substantial claim
  • It may state two separate claims as one.

    Findingown data
    § 6.1

    Existing governance regimes partially satisfy the conditions of legitimate governance but do so in different ways.

    “The comparative analysis shows that existing governance regimes partially satisfy these conditions but do so in different ways.”
    Quote in the paperSubstantial claim
  • It may state two separate claims as one.

    Findingnone given
    § 5.6

    China organizes participation through administrative authorization and institutional alignment, channeling technological development through state-mediated oversight.

    “China organizes participation through administrative authorization and institutional alignment, channeling technological development through state-mediated oversight.”
    Quote in the paperNot a substantial claim
  • It may state two separate claims as one.

    Findingreasoning
    § 5.6

    The European Union embeds accountability within regulatory design but raises participation thresholds through complex compliance obligations.

    “The European Union embeds accountability within regulatory design but raises participation thresholds through complex compliance obligations.”
    Quote in the paperSubstantial claim
  • It may state two separate claims as one.

    Findingnone given
    § 5.6

    The United States expands formal openness but tolerates substantial infrastructural concentration, allowing market structures to shape participation.

    “The 104 United States expands formal openness but tolerates substantial infrastructural concentration, allowing market structures to shape participation.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim. The paper’s conclusions may not depend on it. The paper may give no reason why it holds. It may state two separate claims as one.

    Findingnone given
    § 5.6

    The United States prioritizes innovation and technological leadership, the European Union emphasizes risk management and fundamental rights protection, and China integrates AI governance within broader administrative and developmental objectives.

    “The United States prioritizes innovation and technological leadership, the European Union emphasizes risk management and fundamental rights protection, and China integrates AI governance within broader administrative and developmental objectives.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim. The paper’s conclusions may not depend on it. The paper may give no reason why it holds.

    Interpretationnone given
    § 2.2 The Normative Transformation of Openness, Transparency, and Accountability

    The concept of open-source AI governance developed through a gradual reinterpretation of core values that originally shaped the open-source software movement.

    “The concept of open-source AI governance did not emerge fully formed within academic or policy debates. Rather, it developed through a gradual reinterpretation of several core values that originally shaped the open-source software movement.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim. The paper’s conclusions may not depend on it.

    Premisecitation
    § Introduction

    China has issued administrative regulations on generative AI services that integrate AI governance into a system of platform governance and information control.

    “China, meanwhile, has followed a third approach, issuing administrative regulations on generative AI services that integrate AI governance into a system of platform governance and information control (Creemers 2022).”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Creemers 2022

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • Probably not a substantial claim. The paper may give no reason why it holds.

    Interpretationnone given
    § Introduction

    Openness does not necessarily ensure the inclusiveness of participation, because access to the model does not necessarily ensure the capabilities of actors to engage meaningfully with the model.

    “Second, openness does not necessarily ensure the inclusiveness of participation, as access to the model does not necessarily ensure the capabilities of actors to engage meaningfully with the model.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim. It may be too vague to check against evidence. The paper may give no reason why it holds. It may state two separate claims as one.

    Interpretationreasoning
    § Introduction

    Open-source AI is not just an aspect of artificial intelligence; it is also a threat to the conventional apparatus of regulation.

    “Here, it is important to note that open-source AI is no longer just an aspect of artificial intelligence; it is also a threat to the conventional apparatus of regulation.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim. The paper’s conclusions may not depend on it.

    Premisecitation
    § 2.1 AI Governance as a Hybrid Concept

    Policy institutions increasingly treat artificial intelligence as a strategic infrastructure shaping economic development, geopolitical competition, and social stability.

    “Policy institutions, in turn, increasingly treat artificial intelligence as a strategic infrastructure shaping economic development, geopolitical competition, and social stability (Maas & Villalobos 2023).”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Maas & Villalobos 2023

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • It may state two separate claims as one.

    Interpretationreasoning
    § Introduction

    AI governance is both a technical problem and an institutional problem, and different political systems organize power, responsibilities, and participation in fundamentally different ways.

    “The different approaches to AI governance taken by these jurisdictions indicate that, while AI governance is a technical problem, it is also an institutional problem, and different political systems organize power, responsibilities, and participation in fundamentally different ways.”
    Quote in the paperSubstantial claim
    • Rests on an assumption: The US AI governance approach has evolved through a system of decentralized regulatory coordination, focusing on innovation and technology competitiveness.
  • Probably not a substantial claim. The paper may give no reason why it holds. It may state two separate claims as one.

    Interpretationreasoning
    § 2.1 AI Governance as a Hybrid Concept

    The public availability of model weights and datasets expands opportunities for participation and experimentation, yet also diffuses responsibility and amplifies misuse risks.

    “The public availability of model weights and datasets expands opportunities for participation and experimentation, yet it also diffuses responsibility and amplifies misuse risks.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim. The paper’s conclusions may not depend on it.

    Premisecitation
    § 2.1 AI Governance as a Hybrid Concept

    Open-source communities promote values such as transparency, collaborative participation, and decentralized stewardship.

    “Originating in the history of open-source software, these communities promote values such as transparency, collaborative participation, and decentralized stewardship (Raymond 1999).”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Raymond 1999

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • Probably not a substantial claim. It may be too vague to check against evidence.

    Interpretationreasoning
    § 2.1 AI Governance as a Hybrid Concept

    AI governance is best understood as a hybrid and contested concept shaped by the interaction of normative values, institutional authority, and technological infrastructures.

    “Taken together, these perspectives show that AI governance is best understood as a hybrid and contested concept shaped by the interaction of normative values, institutional authority, and technological infrastructures.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim. It may be too vague to check against evidence.

    Interpretationreasoning
    § 2.23 Accountability as Diffused Responsibility: The Fragmentation of Institutional Responsibility

    These tensions give rise to a set of concrete governance problems.

    “These tensions give rise to a set of concrete governance problems.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim. The paper’s conclusions may not depend on it.

    Premisecitation
    § Introduction

    The European Union has taken a holistic approach to AI regulation through the Artificial Intelligence Act, incorporating AI governance into a system of risk-based regulation to ensure the protection of fundamental rights and ex-ante compliance.

    “The European Union, on the other hand, has taken a holistic approach to AI regulation through the Artificial Intelligence Act, which incorporates AI governance into a system of risk-based regulation to ensure the protection of fundamental rights and ex-ante compliance (Veale and Borgesius 2021).”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Veale and Borgesius 2021

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • Probably not a substantial claim. It may be too vague to check against evidence. The paper may give no reason why it holds.

    Interpretationreasoning
    § Introduction

    The very factor that attracts one to open-source AI is also what creates problems in terms of regulation.

    “The very factor that attracts one to open-source AI is also what creates problems in terms of regulation.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim. The paper’s conclusions may not depend on it.

    Premisecitation
    § 2.1 AI Governance as a Hybrid Concept

    Within computer science and machine learning, governance challenges are often framed as problems of safety engineering, interpretability, and risk mitigation.

    “Within computer science and machine learning, governance challenges are often framed as problems of safety engineering, interpretability, and risk mitigation (Bommasani et al. 2021).”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Bommasani et al. 2021

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • It may state two separate claims as one.

    Interpretationreasoning
    § 2.22 Transparency as Procedural Compliance: The Bureaucratization of Ethical Ideals

    Documentation practices may improve traceability and regulatory monitoring, but they also risk narrowing transparency to administratively legible forms of disclosure.

    “While documentation practices may improve traceability and regulatory monitoring, they also risk narrowing transparency to administratively legible forms of disclosure.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim.

    Interpretationreasoning
    § 2.1 AI Governance as a Hybrid Concept

    When applied to AI systems, open-source ideals generate expectations that technological artifacts should remain inspectable, modifiable, and widely accessible.

    “When applied to AI systems, these ideals generate expectations that technological artifacts should remain inspectable, modifiable, and widely accessible.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim. It may state two separate claims as one.

    Premisecitation
    § 2.23 Accountability as Diffused Responsibility: The Fragmentation of Institutional Responsibility

    Reports from the Alan Turing Institute (2024) and the Atlantic Council (Scott et al. 2023) argue that open-source AI infrastructures increasingly resemble public technological utilities in their societal impact, yet lack the institutional structures traditionally associated with public accountability.

    “Reports from the Alan Turing Institute (2024) and the Atlantic Council (Scott et al. 2023) argue that open-source AI infrastructures increasingly resemble public technological utilities in their societal impact, yet lack the institutional structures traditionally associated with public accountability.”
    Quote in the paperSubstantial claim0 of 2 sources checked
    • cites Alan Turing Institute (2024)

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

    • cites Scott et al. 2023

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • It may state two separate claims as one.

    Interpretationreasoning
    § 2.21 Openness as Technical Visibility: The Depoliticization of Open-Source Values

    Debates surrounding open-source AI often begin from an assumption that visibility itself constitutes openness, even though the governance questions surrounding authority, responsibility, and participation remain unresolved.

    “As a result, debates surrounding open-source AI often begin from an assumption that visibility itself constitutes openness, even though the governance questions surrounding authority, responsibility, and participation remain unresolved.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim. The paper’s conclusions may not depend on it. The paper may give no reason why it holds.

    Interpretationnone given
    § 2.22 Transparency as Procedural Compliance: The Bureaucratization of Ethical Ideals

    As machine learning systems grew increasingly complex, the meaning of transparency within AI governance debates began to shift.

    “As machine learning systems grew increasingly complex, the meaning of transparency within AI governance debates began to shift.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim.

    Interpretationreasoning
    § 2.1 AI Governance as a Hybrid Concept

    AI governance reflects not a unified theoretical tradition but a convergence of normative, institutional, and technical perspectives.

    “AI governance therefore reflects not a unified theoretical tradition but a convergence of normative, institutional, and technical perspectives.”
    Quote in the paperSubstantial claim
    • Rests on an assumption: AI governance emerges at the intersection of ethics, law, technical research, and public policy, each framing governance through different assumptions about authority, responsibility, and social purpose.
  • Probably not a substantial claim. The paper may give no reason why it holds.

    Premisereasoning
    § 2.52

    A second research gap concerns the lack of systematic comparative analysis across governance regimes.

    “A second gap concerns the lack of systematic comparative analysis across governance regimes.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim. The paper’s conclusions may not depend on it.

    Premisecitation
    § 2.32

    In open-source software communities, transparency is closely linked to the visibility of code repositories, development histories, and collaborative practices, which support decentralized monitoring and collective debugging.

    “In the literature on open-source software communities, transparency is closely linked to the visibility of code repositories, development histories, and collaborative practices. These mechanisms allow participants to examine how technological artifacts are produced and modified, supporting decentralized monitoring and collective debugging (Crowston, Howison, & 20 Annabi 2007; Dabbish et al. 2012).”
    Quote in the paperNot a substantial claim0 of 2 sources checked
    • cites Crowston, Howison, & Annabi 2007

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

    • cites Dabbish et al. 2012

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • Probably not a substantial claim. It may state two separate claims as one.

    Premisereasoning
    § 3.3 Data Sources

    The three selected documents were chosen because each represents a central and authoritative statement of AI governance within its respective jurisdiction, while also capturing a distinct mode of institutional organization.

    “These documents were selected because each represents a central and authoritative statement of AI governance within its respective jurisdiction, while also capturing a distinct mode of institutional organization.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim. It may be too vague to check against evidence. The paper may give no reason why it holds. It may state two separate claims as one.

    Premisereasoning
    § 2.41

    Procedural justice requires institutions that prevent arbitrary domination and that enable those affected by decisions to question how those decisions are made.

    “Procedural justice therefore requires institutions that prevent arbitrary domination and that enable those affected by decisions to question how those decisions are made.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim.

    Premisecitation
    § 2.42

    According to Sen, justice should be understood in terms of the real opportunities individuals have to achieve valued ways of living.

    “According to Sen, justice should be understood in terms of the real opportunities individuals have to achieve valued ways of living (Sen 1999; Sen 2009).”
    Quote in the paperSubstantial claim0 of 2 sources checked
    • cites Sen 1999

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

    • cites Sen 2009

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • Probably not a substantial claim. The paper may give no reason why it holds. It may state two separate claims as one.

    Premisenone given
    § 2.52

    China emphasizes state-led technological capability and national security considerations; the European Union foregrounds rights-based regulation and procedural accountability; and the United States generally prioritizes innovation and market-driven development.

    “China emphasizes state-led technological capability and national security considerations; the European Union foregrounds rights-based regulation and procedural accountability; and the United States generally prioritizes innovation and market-driven development.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim. The paper may give no reason why it holds. It may state two separate claims as one.

    Premisenone given
    § 2.51

    Political philosophy offers important frameworks for evaluating institutions, but these theories are rarely applied systematically to contemporary AI governance debates.

    “Although political philosophy offers important frameworks for evaluating institutions, these theories are rarely applied systematically to contemporary AI governance debates.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim. The paper may give no reason why it holds.

    Premisenone given
    § 2.43

    Rawlsian procedural justice and Sen's capability approach address different but complementary dimensions of governance.

    “Rawlsian procedural justice and Sen’s capability approach address different but complementary dimensions of governance.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim. The paper may give no reason why it holds. It may state two separate claims as one.

    Premisereasoning
    § 3.3 Data Sources

    The EU AI Act provides the most comprehensive legislative articulation of a risk-based regulatory model for AI systems and is the clearest source for examining how governance is formalized through law, compliance procedures, and supervisory institutions in the European context.

    “The EU AI Act, by contrast, provides the most comprehensive legislative articulation of a risk-based regulatory model for AI systems and is therefore the clearest source for examining how governance is formalized through law, compliance procedures, and supervisory institutions in the European context.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim. The paper may give no reason why it holds. It may state two separate claims as one.

    Premisenone given
    § 2.35

    Existing scholarship provides extensive analysis of each of the four governance issues, yet it typically examines them separately and often through technical or regulatory perspectives, making it difficult to evaluate how governance arrangements should balance competing objectives such as transparency, innovation, accountability, and equitable participation.

    “Existing scholarship provides extensive analysis of each of these issues, yet it typically examines them separately and often through technical or regulatory perspectives. As a result, it remains difficult to evaluate how governance arrangements should balance competing objectives such as transparency, innovation, accountability, and equitable participation.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim. It may be too vague to check against evidence. The paper’s conclusions may not depend on it. The paper may give no reason why it holds. It may state two separate claims as one.

    Study design and conductnone given
    § 3.5 Limitations of the Research Design

    Applying philosophical principles to institutional analysis requires interpretive judgment, and alternative theoretical perspectives could lead to different evaluations of governance systems.

    “Applying philosophical principles to institutional analysis requires interpretive judgment, and alternative theoretical perspectives could lead to different evaluations of governance systems.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim. The paper may give no reason why it holds.

    Premisenone given
    § 2.52

    The literature rarely evaluates these governance approaches using a shared normative framework.

    “Despite these differences, the literature rarely evaluates these governance approaches using a shared normative framework.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.

    Premisecitation
    § 2.32

    Within AI governance research, transparency includes model interpretability, training-data documentation, and reproducibility standards for understanding how algorithmic systems generate outcomes.

    “Within AI governance research, transparency has acquired additional meanings. Scholars emphasize the importance of model interpretability, training-data documentation, and reproducibility standards for understanding how algorithmic systems generate outcomes (Felzmann et al. 2020; Haibe-Kains et al. 2020; Hernandez-Orallo et al. 2023).”
    Quote in the paperNot a substantial claim0 of 3 sources checked
    • cites Felzmann et al. 2020

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

    • cites Haibe-Kains et al. 2020

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

    • cites Hernandez-Orallo et al. 2023

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • Probably not a substantial claim.

    Interpretationreasoning
    § 2.4

    Together, Rawlsian procedural justice and Sen's capability approach provide normative lenses for evaluating how governance systems structure authority and participation in open-source AI ecosystems.

    “Together, they provide normative lenses for evaluating how governance systems structure authority and participation in open-source AI ecosystems.”
    Quote in the paperSubstantial claim
  • It may state two separate claims as one.

    Interpretationreasoning
    § 4.1 Authority

    This allocation does not create a distinct institutional locus for AI governance; it extends the jurisdiction of the existing digital regulatory apparatus into generative artificial intelligence.

    “This allocation does not create a distinct institutional locus for AI governance. Instead, it extends the jurisdiction of the existing digital regulatory apparatus into the domain of generative artificial intelligence.”
    Quote in the paperSubstantial claim
    • The authors state this as an assumption: Policy texts function as institutional artifacts rather than merely statements of political intention.
  • Probably not a substantial claim. The paper’s conclusions may not depend on it. The paper may give no reason why it holds.

    Interpretationnone given
    § 2.35

    The decentralized nature of open-source development complicates the assignment of responsibility for harmful outcomes.

    “At the same time, the decentralized nature of open-source development complicates the assignment of responsibility for those outcomes.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim. It may be too vague to check against evidence. The paper may give no reason why it holds.

    Interpretationreasoning
    § 2.41

    As AI systems increasingly influence economic opportunities, access to information, and public decision-making processes, the institutions responsible for regulating these systems effectively become part of what Rawls describes as the "basic structure" of society.

    “As AI systems increasingly influence economic opportunities, access to information, and public decision-making processes, the institutions responsible for regulating these systems effectively become part of what Rawls describes as the “basic structure” of society.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim. The paper may give no reason why it holds.

    Interpretationnone given
    § 2.35

    Questions about who has the authority to establish rules for AI systems shape how transparency requirements are defined and enforced.

    “Questions about who has the authority to establish rules for AI systems shape how transparency 23 requirements are defined and enforced.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim. The paper may give no reason why it holds.

    Premisenone given
    § 2.3

    A cohesive normative framework for evaluating how the four governance problems interact and how they should be balanced in cases of conflict remains underdeveloped.

    “Although each of these problems has been examined extensively in the literature, a cohesive normative framework for evaluating how they interact and how they should be balanced in cases of conflict remains underdeveloped.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim. The paper may give no reason why it holds.

    Premisenone given
    § 2.51

    Rawlsian justice and Sen's capability approach are seldom operationalized in the analysis of open-source AI governance.

    “Yet these frameworks are seldom operationalized in the analysis of open-source AI governance.”
    Quote in the paperNot a substantial claim
  • It may state two separate claims as one.

    Premisereasoning
    § 2.33

    Open-source AI models may be modified and redistributed by downstream users, making it difficult to trace responsibility for specific outcomes.

    “Models may also be modified and redistributed by downstream users, making it difficult to trace responsibility for specific outcomes.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim. The paper’s conclusions may not depend on it. The paper may give no reason why it holds.

    Interpretationnone given
    § 2.35

    The availability of information about AI systems influences whether regulators and affected individuals can identify harmful outcomes.

    “The availability of information about AI systems influences whether regulators and affected individuals can identify harmful outcomes.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim. The paper may give no reason why it holds. It may state two separate claims as one.

    Premisenone given
    § 3.3 Data Sources

    The U.S. Executive Order does not create a comprehensive statute, but it is the most authoritative federal statement of how AI governance is coordinated across existing agencies, standards bodies, and policy domains in the contemporary American setting.

    “The U.S. Executive Order does not create a comprehensive statute, but it is still the most authoritative federal statement of how AI governance is coordinated across existing agencies, standards bodies, and policy domains in the contemporary American setting.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim. The paper may give no reason why it holds.

    Premisenone given
    § 2.31

    Traditional regulatory systems assume that technological infrastructures are governed by identifiable institutions such as corporations, regulators, or public agencies responsible for setting rules and enforcing oversight.

    “Traditional regulatory systems assume that technological infrastructures are governed by identifiable institutions such as corporations, regulators, or public agencies responsible for setting rules and enforcing oversight.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim.

    Premisereasoning
    § 3.3 Data Sources

    The three documents are analytically comparable despite their different legal forms because they perform an equivalent governance function.

    “These three documents are also analytically comparable despite their different legal forms.”
    • Also stated in: § 3.3 Data Sources · plain
      “In that sense, these documents are comparable because they perform an equivalent governance function even though they emerge from different legal traditions.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim. It may be too vague to check against evidence.

    Premisecitation
    § 2.42

    Governance arrangements should be evaluated not only in terms of innovation outcomes but also in terms of whether individuals and communities possess the capabilities necessary to engage with technological systems.

    “These studies emphasize that governance arrangements should be evaluated not only in terms of innovation outcomes but also in terms of whether individuals and communities possess the capabilities necessary to engage with technological systems.”
    Quote in the paperNot a substantial claim0 of 3 sources checked
    • cites Sen 1999

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

    • cites Robeyns 2005

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

    • cites Raji et al. 2020

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • It may state two separate claims as one.

    Interpretationreasoning
    § 2.31

    Governments, platform operators, technology firms, and developer communities may all influence the development and deployment of AI models, yet none necessarily exercises comprehensive authority over the system as a whole.

    “Governments, platform operators, technology firms, and developer communities may all influence the development and deployment of AI models, yet none necessarily exercises comprehensive authority over the system as a whole.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim. The paper may give no reason why it holds.

    Interpretationnone given
    § 2.35

    Although open technological ecosystems are often presented as expanding participation in innovation, unequal access to computational resources, expertise, and institutional support may limit who can meaningfully benefit from these systems.

    “Finally, although open technological ecosystems are often presented as expanding participation in innovation, unequal access to computational resources, expertise, and institutional support may limit who can meaningfully benefit from these systems.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim. The paper may give no reason why it holds. It may state two separate claims as one.

    Premisenone given
    § 3.3 Data Sources

    The Chinese Measures are the clearest formal expression of the state's regulatory approach to generative AI services and provide direct evidence of how administrative authority, content supervision, and provider obligations are structured within China's digital governance system.

    “The Chinese Measures are the clearest formal expression of the state’s regulatory approach to generative AI services and therefore provide direct evidence of how administrative authority, content supervision, and provider obligations are structured within China’s digital governance system.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim.

    Interpretationreasoning
    § 2.35

    Debates over open-source AI governance consistently revolve around four interrelated challenges: institutional authority, transparency and oversight, accountability, and participation and distributive fairness.

    “Taken together, the preceding sections reveal that debates over open-source AI governance consistently revolve around four interrelated challenges: the organization of institutional authority, the conditions of transparency and oversight, the allocation of responsibility for harmful outcomes, and the distribution of meaningful opportunities for participation in AI ecosystems.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim. The paper may give no reason why it holds.

    Premisenone given
    § 3.1

    National strategies, regulatory guidelines, and legislative texts define how governments interpret normative principles such as transparency, accountability, and participation.

    “National strategies, regulatory guidelines, and legislative texts define how governments interpret normative principles such as transparency, accountability, and participation.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim. The paper may give no reason why it holds.

    Premisenone given
    § 2.5

    Existing scholarship on open-source AI governance provides extensive analysis of transparency, fairness, accountability, and technological power, yet remains fragmented in its conceptual integration.

    “The preceding sections reveal that existing scholarship on open-source AI governance provides extensive analysis of transparency, fairness, accountability, and technological power, yet remains fragmented in its conceptual integration.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim. The paper may give no reason why it holds.

    Premisenone given
    § 2.5

    The literature often lacks a coherent framework for evaluating how governance arrangements address the ethical and institutional challenges of open-source AI in practice.

    “While researchers have identified many of the ethical and institutional challenges associated with open-source AI ecosystems, the literature often lacks a coherent framework for evaluating how governance arrangements address these challenges in practice.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim. The paper may give no reason why it holds.

    Premisenone given
    § 2.51

    Much of the existing literature focuses on ethical principles without systematically examining how governance arrangements translate these ideals into real-world distributions of power, responsibility, and opportunity.

    “First, much of the existing literature focuses on ethical principles—such as transparency, fairness, or accountability—without systematically examining how governance arrangements translate these ideals into real-world distributions of power, responsibility, and opportunity.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim. It may be too vague to check against evidence. The paper may give no reason why it holds.

    Interpretationreasoning
    § 2.4

    Questions of institutional authority, oversight, responsibility, and participation reflect deeper normative concerns about how power should be exercised and how opportunities within technological systems should be distributed.

    “Questions of institutional authority, oversight, responsibility, and participation reflect deeper normative concerns about how power should be exercised and how opportunities within technological systems should be distributed.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim. The paper may give no reason why it holds.

    Premisenone given
    § 3.1

    Governance systems in open-source AI are primarily articulated through policy documents and regulatory frameworks rather than through quantifiable indicators.

    “This approach is particularly appropriate for studying open-source AI governance because governance systems in this area are primarily articulated through policy documents and regulatory frameworks rather than through quantifiable indicators.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim. The paper’s conclusions may not depend on it. The paper may give no reason why it holds. It may state two separate claims as one.

    Premisenone given
    § 2.3

    Existing scholarship on open-source AI governance does not converge on a single unified theoretical framework but consistently identifies a set of recurring governance challenges in the development and dissemination of advanced AI systems through open networks.

    “Existing scholarship on open-source AI governance does not converge on a single unified theoretical framework”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim. The paper’s conclusions may not depend on it. The paper may give no reason why it holds.

    Premisenone given
    § 2.32

    Transparency is widely viewed as a necessary condition for meaningful oversight because it allows external actors to inspect system design, evaluate decision processes, and identify potential risks.

    “Transparency is widely viewed as a necessary condition for meaningful oversight because it allows external actors to inspect system design, evaluate decision processes, and identify potential risks.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim. It may be too vague to check against evidence. The paper may give no reason why it holds.

    Interpretationreasoning
    § 2.4

    Determining how authority should be structured, how responsibilities should be allocated, and how participation in technological ecosystems should be organized requires normative principles capable of assessing the legitimacy and fairness of governance arrangements.

    “Determining how authority should be structured, how responsibilities should be allocated, and how participation in technological ecosystems should be organized requires normative principles capable of assessing the legitimacy and fairness of governance arrangements.”
    Quote in the paperNot a substantial claim
  • It may state two separate claims as one.

    Interpretationreasoning
    § 2.23 Accountability as Diffused Responsibility: The Fragmentation of Institutional Responsibility

    The diffusion of responsibility does not merely complicate enforcement; it fundamentally challenges conventional assumptions about how technological governance should allocate authority and liability.

    “This diffusion of responsibility does not merely complicate enforcement; it fundamentally challenges conventional assumptions about how technological governance should allocate authority and liability.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim. The paper may give no reason why it holds.

    Premisenone given
    § 3.1

    AI governance regimes differ significantly across political systems, reflecting distinct policy priorities, institutional traditions, and regulatory philosophies.

    “AI governance regimes differ significantly across political systems, reflecting distinct policy priorities, institutional traditions, and regulatory philosophies.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim. The paper may give no reason why it holds. It may state two separate claims as one.

    Premisenone given
    § 2.52

    Existing studies often examine regulatory developments in China, the European Union, or the United States separately, frequently using different conceptual frameworks and evaluative criteria, which makes it difficult to understand how different political systems structure authority, participation, and responsibility in open-source AI governance.

    “Existing studies often examine regulatory developments in China, the European Union, or the United States separately, frequently using different conceptual frameworks and evaluative criteria. This fragmentation makes it difficult to understand how different political systems structure authority, participation, and responsibility in the governance of open-source AI.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim.

    Premisecitation
    § 2.41

    In Rawls's theory of justice, social institutions are legitimate when their rules and procedures can be justified to free and equal citizens under fair conditions of agreement.

    “In Rawls’s theory of justice, social institutions are legitimate when their rules and procedures can be justified to free and equal citizens under 25 fair conditions of agreement (Rawls 1999; Rawls 2001).”
    Quote in the paperSubstantial claim0 of 2 sources checked
    • cites Rawls 1999

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

    • cites Rawls 2001

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • Probably not a substantial claim. The paper may give no reason why it holds. It may state two separate claims as one.

    Premisenone given
    § 2.4

    Rawlsian theory focuses on the legitimacy of institutional authority and the fairness of decision-making procedures, while the capability approach examines whether institutional arrangements enable meaningful participation and access to opportunities.

    “Rawlsian theory focuses on the legitimacy of institutional authority and the fairness of decision-making procedures, while the capability approach examines whether institutional arrangements enable meaningful participation and access to opportunities.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim. The paper may give no reason why it holds.

    Premisenone given
    § 2.51

    The literature rarely addresses fundamental questions such as who benefits from open-source AI ecosystems, who is excluded from participation, and how governance arrangements shape the distribution of technological capabilities.

    “As a result, the literature rarely addresses fundamental questions 29 such as: who benefits from open-source AI ecosystems, who is excluded from participation, and how governance arrangements shape the distribution of technological capabilities.”
    Quote in the paperNot a substantial claim
  • It may state two separate claims as one.

    Interpretationreasoning
    § 2.42

    Meaningful participation in AI development typically requires access to computational infrastructure, specialized expertise, and institutional support, so formal openness does not necessarily translate into equitable participation.

    “However, meaningful participation in AI development typically requires access to computational infrastructure, specialized expertise, and institutional support. As a result, formal openness does not necessarily translate into equitable participation.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim. The paper’s conclusions may not depend on it. The paper may give no reason why it holds. It may state two separate claims as one.

    Premisenone given
    § 2.34

    Open-source AI is often associated with the idea that open access to technological artifacts can broaden participation in innovation, and by making model code, weights, or documentation publicly available, open-source ecosystems appear to lower barriers to entry for researchers, developers, and organizations.

    “Open-source AI is often associated with the idea that open access to technological artifacts can broaden participation in innovation. By making model code, weights, or documentation publicly available, open-source ecosystems appear to lower barriers to entry for researchers, developers, and organizations.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim. The paper may give no reason why it holds.

    Premisenone given
    § 2.4

    Existing scholarship often approaches open-source AI governance through technical, legal, or policy perspectives without offering a unified framework for evaluating competing normative claims.

    “While existing scholarship provides extensive analysis of these issues, it often approaches them through technical, legal, or policy perspectives without offering a unified framework for evaluating competing normative claims.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim.

    Study design and conductreasoning
    § 3.3 Data Sources

    The empirical analysis in this thesis is based primarily on official policy and regulatory documents.

    “The empirical analysis in this thesis is based primarily on official policy and regulatory documents.”
    Quote in the paperSubstantial claim
  • It may state two separate claims as one.

    Premisecitation
    § 4.4 Participation

    The Interim Measures for the Management of Generative Artificial Intelligence Services explicitly promote the development and application of generative AI technologies across industries and support collaboration among enterprises, research institutions, and other actors.

    “The Interim Measures for the Management of Generative Artificial Intelligence Services explicitly promote the development and application of generative AI technologies across industries and support collaboration among enterprises, research institutions, and other actors (Interim Measures, Art. 5).”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites Interim Measures, Art. 5

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • It may state two separate claims as one.

    Interpretationcitation
    § 4.3 Accountability

    China's accountability is structured through a direct alignment between obligation and enforcement, with providers responsible for compliance and supervisory authorities able to investigate, intervene, and sanction within the same institutional framework.

    “Accountability is therefore structured through a direct alignment between obligation and enforcement.”
    • Also stated in: § 4.3 Accountability · plain
      “Providers are responsible for compliance, and supervisory authorities retain the capacity to investigate, intervene, and sanction within the same institutional framework.”
    Quote in the paperSubstantial claim
  • It may state two separate claims as one.

    Interpretationreasoning
    § 4.3 Accountability

    In the EU, accountability is attached to specific actors and institutionalized through procedures that define how compliance is assessed and how violations are addressed.

    “Accountability is therefore not only attached to specific actors but also institutionalized through procedures that define how compliance is assessed and how violations 53 are addressed.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim.

    Premisecitation
    § 4.4 Participation

    Article 7 of the Interim Measures requires that training data processing comply with legal standards governing data governance and information management.

    “Article 7 requires that training data processing comply with legal standards governing data governance and information management (Art. 7)”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites Art. 7

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • It may state two separate claims as one.

    Interpretationreasoning
    § 4.2 Transparency

    These provisions establish a framework in which AI systems are continuously observable within administrative channels, rather than an open informational environment accessible to all actors.

    “These provisions do not construct transparency as an open informational environment accessible to all actors. Instead, they establish a framework in which AI systems are continuously observable within administrative channels.”
    Quote in the paperSubstantial claim
    • The authors state this as an assumption: Policy texts function as institutional artifacts rather than merely statements of political intention.
  • It may state two separate claims as one.

    Interpretationreasoning
    § 4.4 Participation

    China structures participation in AI development through a combination of state encouragement and regulatory conditioning, producing a model of regulated participation in which entry is formally encouraged but institutionally conditioned.

    “In China, participation in AI development is structured through a combination of state encouragement and regulatory conditioning.”
    • Also stated in: § 4.4 Participation · plain
      “As a result, governance operates through a model of regulated participation in which entry into the AI ecosystem is formally encouraged but institutionally conditioned.”
    • Also stated in: § 4.4 Participation · plain
      “China structures participation through regulatory alignment within an administratively supervised system.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim. The paper’s conclusions may not depend on it.

    Premisecitation
    § 4.4 Participation

    Articles 9 and 10 of the Interim Measures impose responsibilities relating to content production and output management.

    “while Articles 9 and 10 impose responsibilities relating to content production and output management (Arts. 9–10).”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Arts. 9–10

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • It may state two separate claims as one.

    Premisecitation
    § 4.4 Participation

    The EU Artificial Intelligence Act defines categories of prohibited practices and establishes regulatory obligations for other AI systems, thereby setting the legal boundaries within which participation may occur.

    “The Artificial Intelligence Act defines categories of prohibited practices and establishes regulatory obligations for other AI systems, thereby setting the legal boundaries within which participation may occur (EU AI Act, Art. 1).”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites EU AI Act, Art. 1

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • It may state two separate claims as one.

    Premisecitation
    § 4.3 Accountability

    The EU Artificial Intelligence Act assigns responsibilities to different actors within the AI value chain, including providers and deployers, and links those responsibilities to formal compliance obligations.

    “The Artificial Intelligence Act assigns responsibilities to different actors within the AI value chain, including providers and deployers, and links those responsibilities to formal compliance obligations (EU AI Act).”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites EU AI Act

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • It may state two separate claims as one.

    Interpretationreasoning
    § 4.3 Accountability

    The institutional structure of U.S. AI accountability reflects the broader fragmentation of the U.S. administrative system, with obligations distributed across actors and enforcement mediated through multiple regulatory pathways.

    “The institutional structure of accountability thus reflects the broader fragmentation of the U.S. administrative system.”
    • Also stated in: § 4.3 Accountability · plain
      “Obligations are distributed across different actors, and enforcement is mediated through multiple regulatory pathways rather than a single, comprehensive framework.”
    Quote in the paperSubstantial claim
  • It may state two separate claims as one.

    Interpretationreasoning
    § 4.4 Participation

    The European Union structures participation through a regulatory framework that combines legal constraints with innovation-support mechanisms, producing a model of conditional participation.

    “The European Union structures participation through a regulatory framework that combines legal constraints with mechanisms designed to support innovation.”
    • Also stated in: § 4.4 Participation · plain
      “As a result, governance operates through a model of conditional participation in which access to AI development and deployment is defined by compliance with legal obligations but supported by institutional mechanisms that enable regulated innovation.”
    • Also stated in: § 4.4 Participation · plain
      “The European Union conditions participation through legal compliance while providing institutional mechanisms such as regulatory sandboxes to support engagement within the regulatory framework.”
    Quote in the paperSubstantial claim
  • It may state two separate claims as one.

    Interpretationreasoning
    § 4.3 Accountability

    The European Union constructs AI accountability through a more explicitly codified legal framework, producing a role-differentiated accountability model in which responsibility is distributed across legally defined categories of actors and enforced through a formal regulatory architecture.

    “The European Union constructs accountability through a more explicitly codified legal framework.”
    • Also stated in: § 4.3 Accountability · plain
      “As a result, governance operates through a model of role-differentiated accountability in which responsibility is distributed across legally defined categories of actors and enforced through a formal regulatory architecture.”
    • Also stated in: § 4.3 Accountability · plain
      “The European Union codifies responsibility through legally defined roles and embeds enforcement within a structured compliance system.”
    Quote in the paperSubstantial claim
  • It may state two separate claims as one.

    Interpretationreasoning
    § 4.2 Transparency

    Taken together, the three approaches illustrate different institutional logics of transparency: China organizes transparency as administrative visibility; the United States constructs transparency through distributed mechanisms of evaluation, reporting, and standards development; the European Union formalizes transparency as a set of legal obligations tied to documentation, traceability, and披露.

    “Taken together, these three approaches illustrate different institutional logics of transparency. China organizes transparency as administrative visibility, enabling continuous supervision within a centralized regulatory system. The United States constructs transparency through distributed mechanisms of evaluation, reporting, and standards development, producing visibility across a network of”
    Quote in the paperSubstantial claim
    • The authors state this as an assumption: Policy texts function as institutional artifacts rather than merely statements of political intention.
  • It may state two separate claims as one.

    Premisereasoning
    § 4.3 Accountability

    U.S. agencies are tasked with monitoring compliance, issuing guidance, and enforcing existing legal obligations.

    “while 52 agencies are tasked with monitoring compliance, issuing guidance, and enforcing existing legal obligations.”
    Quote in the paperSubstantial claim
  • It may state two separate claims as one.

    Premisecitation
    § 4.3 Accountability

    EU enforcement is carried out through supervisory authorities and market surveillance mechanisms, which are empowered to evaluate compliance and impose sanctions where necessary.

    “Enforcement is carried out through supervisory authorities and market surveillance mechanisms, which are empowered to evaluate compliance and impose sanctions where necessary.”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites EU AI Act

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • It may state two separate claims as one.

    Interpretationreasoning
    § 4.4 Participation

    In China, participation in the AI ecosystem occurs through regulatory interaction rather than direct involvement in rule-making, and the ability to develop and deploy AI systems is closely tied to maintaining alignment with administrative supervision.

    “Participation in the AI ecosystem thus occurs through regulatory interaction rather than through direct involvement in rule-making processes.”
    • Also stated in: § 4.4 Participation · plain
      “The ability to develop and deploy AI systems is closely tied to the capacity to maintain alignment with administrative supervision.”
    Quote in the paperSubstantial claim
  • It may state two separate claims as one.

    Interpretationreasoning
    § 4.4 Participation

    The United States organizes participation through an expansion-oriented model that emphasizes innovation capacity and broad involvement, while structuring more advanced participation through reporting obligations and institutional expectations.

    “The United States organizes participation through a different institutional logic, emphasizing expansion of innovation capacity and broad involvement across social and economic actors.”
    • Also stated in: § 4.4 Participation · plain
      “As a result, governance operates through a model of expansion-oriented participation in which entry into the AI ecosystem is broadly permitted and supported, while more advanced forms of participation are structured through reporting obligations and institutional expectations.”
    • Also stated in: § 4.4 Participation · plain
      “The United States expands participation through innovation-oriented policies and infrastructural support while introducing targeted reporting requirements.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim. It may state two separate claims as one.

    Premisenone given
    § 5.131

    Public justification presupposes institutional legibility; citizens and regulated actors must be able to identify who exercises coercive authority over them.

    “Public justification presupposes institutional legibility. Citizens and regulated actors must be able to identify who exercises coercive authority over them.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim. It may be too vague to check against evidence. The paper may give no reason why it holds.

    Premisereasoning
    § 5.132

    Rawlsian transparency requires determinacy of authorship, not merely visibility of activity.

    “Yet Rawlsian transparency requires more than visibility of activity; it requires determinacy of authorship.”
    Quote in the paperNot a substantial claim
  • It may state two separate claims as one.

    Premisecitation
    § 5.13

    Contemporary AI accountability scholarship demonstrates that algorithmic governance can obscure responsibility, diffuse answerability, and insulate authority from structured challenge.

    “Contemporary AI accountability scholarship reinforces this requirement by demonstrating how algorithmic governance can obscure responsibility, diffuse answerability, and insulate authority from structured challenge (Raji et al. 2020; Novelli et al. 2022).”
    Quote in the paperSubstantial claim0 of 2 sources checked
    • cites Raji et al. 2020

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

    • cites Novelli et al. 2022

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • It may state two separate claims as one.

    Interpretationreasoning
    § 5.11 Rawlsian Legitimacy in the Age of Algorithmic Governance

    Transparency is only a preliminary condition for legitimacy; without mechanisms that render authority contestable and subject to revision, visibility risks becoming one-directional and leaving power practically insulated.

    “Transparency, in this sense, is only a preliminary condition. Without mechanisms that render authority contestable and subject to revision, visibility risks becoming one-directional, leaving power formally exposed but practically insulated.”
    • Also stated in: § 5.12 Operationalizing Rawlsian Procedural Justice in AI Governance · plain
      “Yet transparency alone is insufficient. For authority to be legitimate, it must also be contestable.”
    Quote in the paperSubstantial claim
  • It may state two separate claims as one.

    Interpretationreasoning
    § 5.132

    In the U.S., authority becomes plural rather than singular, and final responsibility may require navigating a layered legal landscape rather than engaging a determinate institutional node.

    “Authority becomes plural rather than singular, and final responsibility may require navigating a layered legal landscape rather than engaging a determinate institutional node.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim. The paper may give no reason why it holds.

    Interpretationnone given
    § 5.132

    The United States possesses a mature administrative and judicial framework through which agency decisions may be challenged, including Administrative Procedure Act review, civil rights litigation, and constitutional claims.

    “The United States possesses a mature administrative and judicial framework through which agency decisions 73 may be challenged, including Administrative Procedure Act review, civil rights litigation, and constitutional claims.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim.

    Premisecitation
    § 5.131

    Gabriel argues that justice in AI governance must secure equal moral standing through institutional arrangements that enable reciprocal reasoning.

    “Gabriel (2022) argues that justice in AI governance must secure equal moral standing not only through outcomes but through institutional arrangements that enable reciprocal reasoning—that is, institutional processes through which those subject to governance can demand justification and contest the exercise of authority.”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites Gabriel (2022)

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • Probably not a substantial claim.

    Premisecitation
    § 5.131

    Public justification requires that coercive authority be exercised under principles that others could reasonably accept and contest.

    “Public justification, as Rawls formulates it, requires that coercive authority be exercised under principles that others could reasonably accept and contest (Rawls 2001).”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites Rawls 2001

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • It may state two separate claims as one.

    Interpretationreasoning
    § 5.132

    The Executive Order on Safe, Secure, and Trustworthy AI does not create a centralized AI regulator; it orchestrates a distributed administrative response.

    “The Executive Order on Safe, Secure, and Trustworthy AI does not create a 72 centralized AI regulator; it orchestrates a distributed administrative response.”
    Quote in the paperSubstantial claim
  • It may state two separate claims as one.

    Interpretationreasoning
    § 5.132

    The U.S. AI Safety Institute's role remains technical and advisory rather than juridical; it neither mandates revisions nor provides a centralized forum for contestation.

    “However, its role remains technical and advisory rather than juridical: it neither mandates revisions nor provides a centralized forum for contestation.”
    Quote in the paperSubstantial claim
  • It may state two separate claims as one.

    Interpretationreasoning
    § 5.131

    This integration enhances policy coherence and enforcement capacity.

    “This integration enhances policy coherence and enforcement capacity.”
    Quote in the paperNot a substantial claim
  • It may state two separate claims as one.

    Interpretationreasoning
    § 5.131

    China's regime produces a procedural profile in which authority is administratively determinate and visibly located, enforcement is coherent, and responsibility is clear.

    “Authority is administratively determinate and visibly located. Enforcement is coherent. Responsibility is clear.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim. The paper may give no reason why it holds.

    Premisenone given
    § 5.132

    Rawls's conception of legitimacy presupposes that institutional design itself secures reciprocal standing.

    “Rawls’s conception of legitimacy presupposes that institutional design itself secures reciprocal standing.”
    Quote in the paperNot a substantial claim
  • It may state two separate claims as one.

    Interpretationnone given
    § 5.131

    Within China's generative AI framework, complaint channels and reporting mechanisms exist; providers and users may bring concerns to supervisory authorities, and regulators possess formal powers of inspection and sanction.

    “Within China’s generative AI framework, complaint channels and reporting mechanisms do exist. Providers and users may bring concerns to supervisory authorities, and regulators possess formal powers of inspection and sanction.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim. It may be too vague to check against evidence.

    Interpretationreasoning
    § 5.132

    Contestability should be structurally embedded within the governance arrangement under evaluation, not an incidental byproduct of general legal culture.

    “Contestability should not be an incidental byproduct of general legal culture; it should be structurally embedded within the governance arrangement under evaluation.”
    Quote in the paperNot a substantial claim
  • It may state two separate claims as one.

    Interpretationcitation
    § 5.131

    Visibility answers who governs but does not answer how that governance can be contested.

    “Visibility answers the question of who governs; it does not answer the question of how that governance can be contested.”
    Quote in the paperSubstantial claim
  • It may state two separate claims as one.

    Interpretationreasoning
    § 5.131

    China's regime satisfies the visibility condition yet only partially satisfies the deeper requirement that authority remain institutionally constrained and reciprocally revisable.

    “The regime satisfies the visibility condition yet only partially satisfies the deeper requirement that authority remain institutionally constrained and reciprocally revisable.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim. It may state two separate claims as one.

    Premisecitation
    § 5.0 Normative Authority and Method of Adjudication

    From a Rawlsian perspective, legitimacy depends upon public justification of political power and avoidance of arbitrary domination, and institutions are legitimate when authority is exercised under conditions of transparency, contestability, and reciprocal justification.

    “From a Rawlsian perspective, legitimacy depends upon the public justification of political power and the avoidance of arbitrary domination (Rawls 1999; 2001).”
    • Also stated in: § 5.0 Normative Authority and Method of Adjudication · plain
      “Institutions are legitimate when authority is exercised under conditions of transparency, contestability, and reciprocal justification.”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites Rawls 1999; 2001

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • It may state two separate claims as one.

    Interpretationreasoning
    § 5.0 Normative Authority and Method of Adjudication

    Procedural justice operates as a structural precondition for legitimate AI governance, while substantive capability determines whether that governance achieves the distributive realization of meaningful participation and technological opportunity; any defensible model must secure both.

    “The central 64 claim advanced is conditional: procedural justice operates as a structural precondition for legitimate AI governance, while substantive capability determines whether that governance achieves the distributive realization of meaningful participation and technological opportunity.Any defensible model must secure both.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim.

    Premisecitation
    § 5.131

    Novelli, Taddeo, and Floridi emphasize that answerability is not merely a matter of communication but of institutional design.

    “Novelli, Taddeo, and Floridi (2022) emphasize that answerability is not merely a matter of communication but of institutional design.”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites Novelli, Taddeo, and Floridi (2022)

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • It may state two separate claims as one. The quote only partly states this claim.

    Interpretationreasoning
    § 4.5 Institutional Patterns of AI Governance

    China's AI governance converges into a model of administratively integrated governance, positioning AI governance as an extension of the broader digital regulatory state.

    “In China, these dimensions converge into a model of administratively integrated governance.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim.

    Premisecitation
    § 5.132

    Novelli et al. distinguish between traceability-knowing where responsibility lies-and answerability-the obligation of institutions to provide reasons and revise decisions.

    “Novelli et al. (2022) distinguish between traceability—knowing where responsibility lies—and answerability—the obligation of institutions to provide reasons and revise decisions.”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites Novelli et al. (2022)

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • Probably not a substantial claim.

    Premisecitation
    § 5.131

    Raji et al. warn that accountability gaps can arise not only from indeterminate responsibility but from insufficient structural constraint.

    “Raji et al. (2020) warn that accountability gaps can arise not only from indeterminate responsibility but from insufficient structural constraint.”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites Raji et al. (2020)

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • Probably not a substantial claim.

    Premisecitation
    § 5.0 Normative Authority and Method of Adjudication

    Sen's capability approach directs attention to substantive freedom-the real opportunities individuals and organizations possess to act, participate, and pursue valued ends.

    “Sen’s capability approach addresses a different, though equally indispensable, dimension of normative assessment. Whereas Rawls foregrounds the legitimacy of institutional authority, Sen 62 directs attention to substantive freedom—the real opportunities individuals and organizations possess to act, participate, and pursue valued ends (Sen 1999; 2009).”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites Sen 1999; 2009

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • Probably not a substantial claim. The paper may give no reason why it holds. It may state two separate claims as one.

    Premisenone given
    § 5.131

    Rawls does not condemn centralized governance per se; he is concerned with arbitrary power.

    “Rawls does not condemn centralized governance per se; he is concerned with arbitrary power.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim.

    Premisecitation
    § 5.131

    Rawls's conception of legitimacy turns on whether political power is exercised under conditions that preserve citizens' standing as participants in a fair system of cooperation.

    “Legitimacy, in his account, turns on whether political power is exercised under conditions that preserve citizens’ standing as participants in a fair system of cooperation (Rawls 2001).”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites Rawls 2001

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • It may state two separate claims as one.

    Premisecitation
    § 4.4 Participation

    Under the EU AI Act, providers of high-risk AI systems must prepare technical documentation and implement compliance procedures.

    “Providers of high-risk AI systems must prepare technical documentation and implement compliance procedures, indicating that participation depends on the ability to maintain administrative and technical infrastructures aligned with regulatory standards.”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites EU AI Act

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • It may state two separate claims as one.

    Interpretationreasoning
    § 5.0 Normative Authority and Method of Adjudication

    Procedural safeguards such as documentation, review mechanisms, or regulatory oversight may increase administrative and technical burdens on participation, while governance structures that maximize openness and minimize ex ante constraints may expand entry while leaving authority less institutionally constrained.

    “Institutional arrangements that strengthen procedural safeguards—such as documentation, review mechanisms, or regulatory oversight—may simultaneously increase the administrative and technical burdens associated with participation.”
    • Also stated in: § 5.0 Normative Authority and Method of Adjudication · hedged
      “Conversely, governance structures that maximize openness and minimize ex ante constraints may expand entry while leaving authority less institutionally constrained.”
    Quote in the paperSubstantial claim
  • It may state two separate claims as one.

    Premisecitation
    § 5.11 Rawlsian Legitimacy in the Age of Algorithmic Governance

    In algorithmic governance, both excessive centralization and excessive diffusion can undermine accountability by concentrating discretion or dispersing responsibility beyond meaningful review.

    “In algorithmic governance, both excessive centralization and excessive diffusion can undermine accountability—either by concentrating discretion or by dispersing responsibility beyond meaningful review (Raji et al. 2020; Novelli et al. 2022).”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites Raji et al. 2020; Novelli et al. 2022

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • It may state two separate claims as one.

    Interpretationreasoning
    § 4.5 Institutional Patterns of AI Governance

    AI governance is not organized around a single institutional template; it is defined by institutional arrangements through which regulatory power, informational visibility, responsibility, and participation are structured.

    “Viewed comparatively, these patterns highlight that AI governance is not organized around a single institutional template.”
    • Also stated in: § 4.5 Institutional Patterns of AI Governance · boosted
      “These differences demonstrate that the governance of AI systems is not defined solely by technological considerations, but by the institutional arrangements through which regulatory power, informational visibility, responsibility, and participation are structured.”
    Quote in the paperSubstantial claim
  • It may state two separate claims as one.

    Interpretationreasoning
    § 5.132

    In the U.S., contestability exists but is not institutionally consolidated within a unified AI governance architecture.

    “Contestability therefore exists, but it is not institutionally consolidated within a unified AI governance architecture.”
    Quote in the paperSubstantial claim
  • It may state two separate claims as one.

    Interpretationreasoning
    § 5.132

    U.S. AI governance unfolds through a network of executive coordination, interagency directives, advisory bodies, procurement standards, civil rights enforcement, and sector-specific regulatory frameworks.

    “Instead, governance unfolds through a network of executive coordination, interagency directives, advisory bodies, procurement standards, civil rights enforcement, and sector-specific regulatory frameworks.”
    Quote in the paperSubstantial claim
  • It may state two separate claims as one.

    Interpretationnone given
    § 5.132

    U.S. authority over AI is not consolidated within a single supervisory body, nor codified within a unified regulatory statute.

    “Authority over artificial intelligence is not consolidated within a single supervisory body, nor codified within a unified regulatory statute.”
    Quote in the paperSubstantial claim
  • It may state two separate claims as one.

    Interpretationreasoning
    § 5.131

    In China's generative AI framework, review remains institutionally aligned with enforcement, with limited differentiation between those who articulate regulatory norms and those who evaluate their application.

    “Review, to the extent that it occurs, remains institutionally aligned with enforcement. There is limited differentiation between those who articulate regulatory norms and those who evaluate their application.”
    Quote in the paperSubstantial claim
  • It may state two separate claims as one.

    Interpretationreasoning
    § 5.132

    Multiple U.S. agencies publish frameworks, standards, and transparency reports; authority is not hidden.

    “Multiple agencies publish frameworks, standards, and transparency reports. Authority is not hidden.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim. It may be too vague to check against evidence.

    Premisereasoning
    § 5.132

    Citizens and regulated actors must be able to identify who exercises binding authority in cases of dispute or harm.

    “Citizens and regulated actors must be able to identify who exercises binding authority in cases of dispute or harm.”
    Quote in the paperNot a substantial claim
  • It may state two separate claims as one.

    Interpretationreasoning
    § 5.131

    China's architecture avoids the difficulty of compromised legibility; authority is visible and not masked behind hybrid governance forms.

    “China’s architecture avoids that particular difficulty. Authority is visible; it is not 69 masked behind hybrid governance forms.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim. The paper’s conclusions may not depend on it.

    Premisecitation
    § 5.132

    Raji et al. describe accountability gaps arising when responsibility is fragmented across multiple actors.

    “Raji et al. (2020) describe accountability gaps arising when responsibility is fragmented across multiple actors.”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Raji et al. (2020)

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • It may state two separate claims as one.

    Interpretationreasoning
    § 5.131

    In China's regime, revisability is mediated internally, public justification is largely administrative, and structural constraint on discretion is comparatively limited.

    “At the same time, revisability is mediated internally, public justification is largely administrative, and structural constraint on discretion is comparatively limited.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim. The paper’s conclusions may not depend on it. The paper may give no reason why it holds.

    Interpretationreasoning
    § 5.132

    From a Rawlsian perspective, this concentration does not necessarily eliminate contestability, since legal and administrative mechanisms remain available for challenging particular regulatory decisions.

    “From a Rawlsian perspective, this concentration does not necessarily eliminate contestability, since legal and administrative mechanisms remain available for challenging particular regulatory decisions.”
    Quote in the paperNot a substantial claim
  • It may state two separate claims as one.

    Interpretationreasoning
    § 5.231 China: Authorization-Gated Participation and State-Mediated Capability

    Participation in China remains formally possible, yet it presupposes organizational maturity and the ability to institutionalize compliance functions.

    “Participation remains formally possible, yet it presupposes organizational maturity and the ability to institutionalize compliance functions.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim.

    Premisecitation
    § 5.232 The United States: Permissive Openness and Stratified Capacity

    The NIST AI Risk Management Framework articulates expectations of documentation, risk evaluation, monitoring, and internal governance processes.

    “Federal policy instruments such as the NIST AI Risk Management Framework articulate expectations of documentation, risk evaluation, monitoring, and internal governance processes.”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites NIST AI Risk Management Framework

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • It may state two separate claims as one.

    Interpretationnone given
    § 5.232 The United States: Permissive Openness and Stratified Capacity

    The United States relies on a comparatively permissive regulatory posture combined with industry-led standards and voluntary risk management frameworks.

    “Rather than organizing participation through centralized authorization or comprehensive ex ante compliance regimes, it relies on a comparatively permissive regulatory posture combined with industry-led standards and voluntary risk management frameworks.”
    Quote in the paperSubstantial claim
    • Rests on an assumption: The United States federal government has not imposed blanket pre-authorization requirements for generative model deployment.
  • It may state two separate claims as one.

    Premisecitation
    § 5.231 China: Authorization-Gated Participation and State-Mediated Capability

    The Interim Measures for the Management of Generative Artificial Intelligence Services (2023) require providers to complete security assessments, file algorithm information with authorities, and ensure content compliance consistent with public order and national security objectives.

    “The Interim Measures for the Management of Generative Artificial Intelligence Services (2023) require providers to complete security assessments, file algorithm information with authorities, and ensure content compliance consistent with public order and national security objectives.”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites Interim Measures for the Management of Generative Artificial Intelligence Services (2023)

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • It may state two separate claims as one.

    Interpretationreasoning
    § 5.133

    Citizens and regulated actors in the EU are able to identify not only who governs, but under what legal mandate and through which institutional channel.

    “Citizens and regulated actors are able to identify not only who governs, but under what legal mandate and through which institutional channel.”
    Quote in the paperSubstantial claim
  • It may state two separate claims as one.

    Premisecitation
    § 5.132

    Recent work emphasizes that these conditions tend to concentrate economic and political power in dominant technology companies and shape which technological pathways are pursued.

    “As recent work on the political economy of artificial intelligence emphasizes, these conditions tend to concentrate economic and political power in dominant technology companies and shape which technological pathways are pursued (Brynjolfsson and Unger 2023; Srnicek 2017).”
    Quote in the paperSubstantial claim0 of 2 sources checked
    • cites Brynjolfsson and Unger 2023

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

    • cites Srnicek 2017

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • It may state two separate claims as one.

    Interpretationreasoning
    § 5.132

    Fragmentation can reduce the risk of unilateral control while simultaneously weakening structured constraint.

    “Fragmentation can 75 reduce the risk of unilateral control while simultaneously weakening structured constraint.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim. It may be too vague to check against evidence.

    Premisecitation
    § 5.132

    Public explanation must be tied to mechanisms through which those explanations can be challenged and, if necessary, altered.

    “Public explanation must be tied to mechanisms through which those explanations can be challenged and, if necessary, altered.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim.

    Premisenone given
    § 5.132

    Rawls's public reason demands that justification be institutionally connected to revision, not merely disclosure.

    “Yet Rawls’s public reason demands more than disclosure; it demands that justification be institutionally connected to revision.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim. It may be too vague to check against evidence.

    Interpretationreasoning
    § 5.22 Comparative Adjudication under Senian Capability

    Capability becomes a diagnostic tool for evaluating whether AI governance regimes merely permit participation in formal terms or substantively enable agents to develop, use, and contest AI systems within institutional environments that structure technological power.

    “When these theoretical and empirical insights are considered together, capability becomes a diagnostic tool for evaluating whether AI governance regimes merely 84 permit participation in formal terms or substantively enable agents to develop, use, and contest AI systems within the institutional environments that structure technological power.”
    Quote in the paperNot a substantial claim
  • It may state two separate claims as one.

    Interpretationreasoning
    § 5.132

    The U.S. architecture encourages openness, but its capacity to institutionalize revision depends on broader administrative law rather than AI-specific design.

    “The architecture encourages openness, but its capacity to institutionalize revision depends on broader administrative law rather than AI-specific design.”
    Quote in the paperSubstantial claim
  • It may state two separate claims as one.

    Interpretationreasoning
    § 5.132

    U.S. power is not concentrated, yet it may be insufficiently anchored to coherent oversight mechanisms.

    “Power is not concentrated, yet it may be insufficiently anchored to coherent oversight mechanisms.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim. The paper’s conclusions may not depend on it. The paper may give no reason why it holds. It may state two separate claims as one.

    Interpretationreasoning
    § 5.132

    Executive directives mandate transparency in federal agency AI use, and agencies are expected to articulate risk management practices.

    “Executive directives mandate transparency in federal agency AI use, and agencies are expected to articulate risk management practices.”
    Quote in the paperNot a substantial claim
  • It may state two separate claims as one.

    Interpretationreasoning
    § 5.133

    The Artificial Intelligence Act does not rely primarily on executive coordination or administrative instruction; it codifies authority within binding legislation that allocates obligations, supervisory roles, and enforcement powers across multiple institutional levels.

    “The Artificial Intelligence Act does not rely primarily on executive coordination or administrative instruction. Instead, it codifies authority within binding legislation that allocates obligations, supervisory roles, and enforcement powers across multiple institutional levels..”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim.

    Premisenone given
    § 5.133

    Public justification presupposes that coercive authority operates within a framework that others can examine and contest.

    “Public justification, in Rawls’s sense, presupposes that coercive authority operates within a framework that others can examine and contest.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim. The paper’s conclusions may not depend on it.

    Premisecitation
    § 5.132

    Gabriel emphasizes that justice in AI governance requires institutions capable of transforming transparency into enforceable accountability.

    “Gabriel (2022) emphasizes that justice in AI governance requires institutions capable of transforming transparency into enforceable accountability.”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Gabriel (2022)

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • It may state two separate claims as one.

    Interpretationreasoning
    § 5.132

    Fragmentation of public authority may coexist with concentrated private power, producing a governance environment in which contestability is formally available but unevenly distributed in practice.

    “Fragmentation of public authority may therefore coexist with concentrated private power, producing a governance environment in which contestability is formally available but unevenly distributed in practice.”
    Quote in the paperSubstantial claim
  • It may state two separate claims as one.

    Interpretationreasoning
    § 5.132

    In the U.S. model, some transparency obligations lack binding legal force, and compliance may vary across agencies.

    “In the U.S. model, some transparency obligations lack binding legal force, and compliance may vary across agencies.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim. It may be too vague to check against evidence. The paper’s conclusions may not depend on it.

    Interpretationreasoning
    § 5.133

    In Rawlsian terms, this strengthens determinacy within the basic structure.

    “In Rawlsian terms, this strengthens determinacy within the basic structure.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim. It may be too vague to check against evidence. It may state two separate claims as one.

    Interpretationreasoning
    § 5.5

    Legitimate AI governance must pursue institutional designs that both constrain discretionary power and expand the conditions under which diverse actors can meaningfully engage with emerging technological systems.

    “Legitimate AI governance must therefore pursue institutional designs that both constrain discretionary power and expand the conditions under which diverse actors can meaningfully engage with emerging technological systems.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim. It may state two separate claims as one.

    Study design and conductown data
    § 6.3

    The analysis focuses primarily on institutional frameworks and regulatory structures rather than empirical implementation outcomes, and does not directly measure the effectiveness of specific regulatory policies in practice.

    “First, the analysis focuses primarily on institutional frameworks and regulatory structures rather than empirical implementation outcomes.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim. The paper’s conclusions may not depend on it. The quote only partly states this claim.

    Study design and conductreasoning
    § 6.3

    The comparative analysis concentrates on three jurisdictions-China, the United States, and the European Union-which do not capture the full diversity of global regulatory approaches.

    “Second, the comparative analysis concentrates on three major regulatory jurisdictions—China, the United States, and the European Union.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim. It may be too vague to check against evidence. It may state two separate claims as one.

    Interpretationreasoning
    § 5.6

    Welfare considerations may account for institutional divergence, but they cannot determine whether governance arrangements are normatively legitimate.

    “Welfare considerations may account for institutional divergence, but they cannot determine whether governance arrangements are normatively legitimate.”
    Quote in the paperNot a substantial claim
  • It may state two separate claims as one.

    Interpretationreasoning
    § 5.232 The United States: Permissive Openness and Stratified Capacity

    Under these conditions, formal openness does not translate into equal capability; participation remains legally accessible but materially stratified, as actors differ significantly in their ability to convert access into meaningful engagement.

    “Under these conditions, formal openness does not translate into equal capability. Participation remains legally accessible but materially stratified, as actors differ significantly in their ability to convert access into meaningful engagement.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim. It may be too vague to check against evidence. It may state two separate claims as one.

    Interpretationreasoning
    § 6.6

    Legitimate governance of open-source AI requires institutions capable of achieving two objectives simultaneously: authority structured so that those subject to governance are not vulnerable to arbitrary domination, and technological ecosystems sufficiently open to allow meaningful participation by a diverse range of actors.

    “The analysis presented in this thesis suggests that legitimate governance of open-source AI requires institutions capable of achieving two objectives simultaneously. Authority must be structured so that those subject to governance are not vulnerable to arbitrary domination. At the same time, technological ecosystems must remain sufficiently open to allow meaningful participation by a diverse range”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim.

    Interpretationreasoning
    § 5.6

    Translating Rawls's theory into institutional criteria yields four requirements: transparency of authority, structured contestability, public justification, and protection against arbitrary concentration of power.

    “Translating Rawls’s theory into institutional criteria yields four requirements: transparency of authority, structured contestability, public justification, and protection against arbitrary concentration of power.”
    Quote in the paperSubstantial claim
  • It may state two separate claims as one.

    Premisecitation
    § 5.233 The European Union: Accountability-Embedded Participation and Compliance-Mediated Capability

    The AI Act does not eliminate open-source experimentation, nor does it categorically prohibit model release.

    “The AI Act does not eliminate open-source experimentation, nor does it categorically prohibit model release.”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites AI Act

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • Probably not a substantial claim. It may be too vague to check against evidence. It may state two separate claims as one.

    Interpretationreasoning
    § 5.5

    Trade-offs between procedural legitimacy and participatory capability should be evaluated sequentially: first by asking whether institutional arrangements adequately constrain arbitrary power, and second by assessing how those arrangements shape the distribution of participation opportunities.

    “Trade-offs should therefore be evaluated sequentially: first by asking whether institutional arrangements adequately constrain arbitrary power, and second by assessing how those arrangements shape the distribution of participation opportunities.”
    Quote in the paperNot a substantial claim
  • It may state two separate claims as one.

    Interpretationreasoning

    Institutional designs that strengthen constraints on authority may generate participation costs, while those that maximize openness may leave authority insufficiently structured or contestable.

    “Institutional designs that strengthen constraints on authority may generate participation costs, while those that maximize openness may leave authority insufficiently structured or contestable.”
    Quote in the paperSubstantial claim
  • It may state two separate claims as one.

    Interpretationcitation
    § 5.4 Structural Tensions in Open-Source AI Governance

    China's governance architecture reflects a pattern in which administrative determinacy clarifies the locus of authority but channels participation through state-supervised structures.

    “China’s governance architecture reflects this pattern, where administrative determinacy clarifies the locus of authority but channels participation through state-supervised structures (Creemers 2022).”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites Creemers 2022

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • It may state two separate claims as one.

    Interpretationreasoning
    § 6.2

    AI governance institutions face persistent structural tensions: strong procedural safeguards may enhance accountability but increase compliance costs and administrative burdens, while permissive regulatory environments may expand participation while leaving authority insufficiently constrained.

    “Strong procedural safeguards may enhance accountability but also increase compliance costs and administrative burdens. Conversely, permissive regulatory environments may expand participation while leaving authority insufficiently constrained.”
    Quote in the paperSubstantial claim
  • It may state two separate claims as one.

    Interpretationnone given

    Governance systems that minimize ex ante procedural constraints may expand entry opportunities while weakening institutional oversight.

    “Conversely, governance systems that minimize ex ante procedural constraints may expand entry opportunities while weakening institutional oversight.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim. The paper’s conclusions may not depend on it.

    Study design and conductnone given
    § 6.3

    The normative framework employed in this thesis is limited to two traditions of political philosophy: Rawlsian procedural justice and the capability approach.

    “Third, the normative framework employed in this thesis is limited to two traditions of political philosophy: Rawlsian procedural justice and the capability approach.”
    Quote in the paperNot a substantial claim
  • It may state two separate claims as one.

    Interpretationreasoning
    § 5.232 The United States: Permissive Openness and Stratified Capacity

    The structure of participation in the United States does not exclude others, but it amplifies the voice of those already embedded within resource-rich networks.

    “The structure of participation does not exclude others, but it amplifies the voice of those already embedded within resource-rich networks.”
    Quote in the paperSubstantial claim
  • It may state two separate claims as one.

    Interpretationcitation
    § 5.4 Structural Tensions in Open-Source AI Governance

    By embedding AI governance within legally codified oversight mechanisms, the EU strengthens institutional accountability and limits discretionary power, but these same safeguards introduce compliance requirements that may raise participation thresholds for actors lacking legal, technical, or administrative resources.

    “By embedding AI governance within legally codified oversight mechanisms, the EU strengthens institutional accountability and limits discretionary power (European Commission 2021; Veale and Borgesius 2021). Yet these same safeguards introduce compliance requirements that may raise participation thresholds for actors lacking legal, technical, or administrative resources (Alan Turing Institute 2024).”
    Quote in the paperSubstantial claim0 of 3 sources checked
    • cites European Commission 2021

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

    • cites Veale and Borgesius 2021

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

    • cites Alan Turing Institute 2024

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • It may state two separate claims as one.

    Interpretationreasoning
    § 5.232 The United States: Permissive Openness and Stratified Capacity

    While the United States imposes comparatively limited centralized compliance thresholds, de facto thresholds arise from the economic and technical requirements of responsible model development.

    “Finally, while the United States imposes comparatively limited centralized compliance thresholds, de facto thresholds arise from the economic and technical requirements of responsible model development.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim.

    Premisecitation
    § 5.5

    The legitimacy of institutional authority depends on whether the exercise of coercive power can be publicly justified to free and equal citizens.

    “Rawls argues that the legitimacy of institutional authority depends on whether the exercise of coercive power can be publicly justified to free and equal citizens (Rawls 101 2001).”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites Rawls 2001

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • It may state two separate claims as one.

    Interpretationreasoning
    § 5.233 The European Union: Accountability-Embedded Participation and Compliance-Mediated Capability

    Participation in the EU remains formally permissible, yet the practical threshold for sustained engagement rises with the complexity of compliance architecture.

    “Participation remains formally permissible, yet the practical threshold for sustained engagement rises with the complexity of compliance architecture.”
    Quote in the paperSubstantial claim
  • It may state two separate claims as one.

    Interpretationcitation
    § 5.233 The European Union: Accountability-Embedded Participation and Compliance-Mediated Capability

    Meaningful influence within EU rule-shaping processes typically requires the ability to monitor legislative developments, produce technically informed submissions, and maintain long-term engagement.

    “Yet meaningful influence within these processes typically requires the ability to monitor legislative developments, produce technically informed submissions, and maintain long-term engagement.”
    Quote in the paperSubstantial claim
  • It may state two separate claims as one.

    Interpretationreasoning
    § 5.233 The European Union: Accountability-Embedded Participation and Compliance-Mediated Capability

    The European Union illustrates a governance model in which accountability and participation are tightly interwoven; embedding safeguards reduces irresponsible deployment and enhances public oversight, but structures participation through compliance capacity and regulatory literacy.

    “The European Union thus illustrates a governance model in which accountability and participation are tightly interwoven. By embedding safeguards within the architecture of development, the EU reduces the risk of irresponsible deployment and enhances public oversight. At the same time, it structures participation through compliance capacity and regulatory literacy.”
    Quote in the paperSubstantial claim
183 of 183
  • The paper relies on this without support.

    The US AI governance approach has evolved through a system of decentralized regulatory coordination, focusing on innovation and technology competitiveness.

    “The AI governance approach in the US, for instance, has evolved through a system of decentralized regulatory coordination, focusing on innovation and technology competitiveness.”
  • The paper relies on this without support.

    By lowering barriers to experimentation and reuse, open-source AI can expand scientific collaboration and accelerate innovation.

    “By lowering barriers to experimentation and reuse, open-source AI can expand scientific collaboration and accelerate innovation.”
  • The paper relies on this without support.

    The public availability of model components complicates conventional mechanisms of oversight, responsibility, and risk management.

    “At the same time, the public availability of model components complicates conventional mechanisms of oversight, responsibility, and risk management.”
  • The paper relies on this without support.

    AI governance emerges at the intersection of ethics, law, technical research, and public policy, each framing governance through different assumptions about authority, responsibility, and social purpose.

    “Artificial intelligence governance does not originate from a single intellectual tradition. Rather, it emerges at the intersection of several domains of inquiry—most prominently ethics, law, technical research, and public policy—each of which frames governance through different assumptions about authority, responsibility, and social purpose.”
  • The paper relies on this without support.

    Across jurisdictions including the United States, the European Union, and China, regulatory frameworks determine who possesses authority over AI systems, how liability for algorithmic harms is assigned, and under what procedural conditions governance decisions are justified.

    “Across jurisdictions including the United States, the European Union, and China, regulatory frameworks determine who possesses authority over AI systems, how liability for algorithmic harms is assigned, and under what procedural conditions governance decisions are justified.”
  • The paper relies on this without support.

    In the literature on open-source technologies and AI ethics, openness, transparency, and accountability have played particularly prominent roles.

    “In the literature on open-source technologies and AI ethics, three such values—openness, transparency, and accountability—have played particularly prominent roles.”
  • The authors state this as an assumption.

    Policy texts function as institutional artifacts rather than merely statements of political intention.

    “The analysis proceeds from the premise that policy texts function as institutional artifacts rather than merely statements of political intention.”
  • The paper relies on this without support.

    Regulatory instruments specify which actors exercise governance authority, how technological participation is conditioned, and how accountability for risks is distributed across institutions.

    “Regulatory instruments specify which actors exercise governance authority, how technological participation is conditioned, and how accountability for risks is distributed across institutions.”
  • The authors state this as an assumption.

    Actors participating in AI development possess the organizational capacity to implement compliance systems, monitor outputs, and manage risks associated with generated content.

    “These provisions assume that actors participating in AI development possess the organizational capacity to implement compliance systems, monitor outputs, and manage risks associated with generated content.”
  • The paper relies on this without support.

    Governments frequently justify regulatory choices by appealing to economic growth, innovation capacity, global competitiveness, or systemic stability.

    “Governments frequently justify regulatory 63 choices by appealing to economic growth, innovation capacity, global competitiveness, or systemic stability.”
  • The paper relies on this without support.

    Different institutional arrangements are adopted under similar technological pressures.

    “These arguments reflect a form of welfare-oriented reasoning that helps explain why different institutional arrangements are adopted under similar technological pressures.”
  • The authors state this as an assumption.

    Rawlsian procedural justice can be applied to AI governance arrangements across different governance systems as a normative framework without claiming institutional equivalence.

    “In this chapter, Rawlsian procedural justice is used not as a claim about institutional equivalence, but as a normative framework for evaluating how authority is structured, justified, and constrained across different governance arrangements.”
  • The paper relies on this without support.

    Governments do not design regulatory systems by applying theories of justice.

    “Governments do not design regulatory systems by applying theories of justice.”
  • The paper relies on this without support.

    The United States federal government has not imposed blanket pre-authorization requirements for generative model deployment.

    “federal governance 88 has not imposed blanket pre-authorization requirements for generative model deployment.”
  • The paper relies on this without support.

    Open-source licensing practices remain robust.

    “Open-source licensing practices remain robust”
  • The paper relies on this without support.

    Public consultation mechanisms exist in China.

    “While public consultation mechanisms exist”
16 of 16

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

Each contradiction between two passages listed here was confirmed by an independent check.

  • Hardt, Price, and Srebro citation year differs from reference

    Minor

    The text cites Hardt, Price, and Srebro as 2021, while the reference list dates their listed work to 2016.

  • Chapter 2 starts on page 8, not page 9 as listed

    Minor

    The table of contents lists Chapter 2 as starting on page 9, but the chapter heading and opening paragraph appear before the page 8 marker.

  • Novelli, Taddeo, and Floridi citation year differs from reference

    Minor

    The text cites Novelli, Taddeo, and Floridi as 2022, while the reference list dates their listed work to 2023.

  • O'Mahony and Ferraro citation year differs from reference

    Minor

    The text cites O'Mahony and Ferraro as 2017, while the reference list dates their listed work to 2007.

4 of 4

Citations

Cites

The publisher hasn’t deposited this paper’s reference list.

Metadata

Authors
Huang, Y.
Affiliations
University of North Carolina at Chapel Hill (US)
Corresponding author
Yike Huang
Venue
The University of North Carolina at Chapel Hill University Libraries
Publisher
The University of North Carolina at Chapel Hill University Libraries
Published
2026
OpenAlex
W7163698613
Cited by
0
References
0
Type
dissertation
Language
en
Open access
Locations
  • Carolina Digital Repository (University of North Carolina at Chapel Hill) (submittedVersion, public-domain)
  • UNC Libraries
Topics
  • Physical Sciences › Computer Science › Artificial Intelligence › Ethics and Social Impacts of AI
  • Social Sciences › Law › Digitalization, Law, and Regulation
  • Physical Sciences › Computer Science › Artificial Intelligence › Law, AI, and Intellectual Property
Keywords
generative AI regulation, EU AI Act, procedural justice, capability approach, accountability, contestability

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