Hermeneutic Sovereignty under Generative AI: A Humanities Framework for Protecting Human Meaning-Making from Interpretive Foreclosure
Open accessAbstract
Generative artificial intelligence increasingly mediates not only what institutions decide, but how institutions interpret people. Large language models draft case summaries, student feedback, performance reviews, clinical notes, policy briefs, creative text and administrative explanations. Existing AI governance frameworks appropriately emphasise accuracy, fairness, transparency, accountability and human oversight, yet these categories do not fully capture a distinct humanities problem: a fluent machine-generated interpretation can become institutionally authoritative before the person concerned has meaningfully articulated, contextualised or contested the account. This paper develops a person-centred framework of hermeneutic sovereignty for generative AI. Using an interdisciplinary conceptual methodology, it synthesises philosophical hermeneutics, epistemic injustice, narrative identity, human factors research, empirical studies of generative AI and contemporary governance frameworks. Hermeneutic sovereignty is defined as the situated and relational standing and capacity of persons and communities to participate meaningfully in constructing, contextualising, contesting, pluralising, revising and, where appropriate, refusing interpretations of their own experiences, identities, intentions, reasons and circumstances when those interpretations are mediated by AI. The paper identifies four mechanisms of AI-mediated interpretive foreclosure: interpretive pre-emption, hermeneutic compression, authority laundering and recursive fixation. It then proposes six dimensions for evaluating hermeneutic sovereignty and an Interpretive Foreclosure Test for institutional workflows. The analysis shows that human oversight is insufficient when the human merely approves a machine-framed account. Responsible adoption requires governance of the meaning-making process itself, including human-first elicitation, source-to-summary traceability, visible uncertainty, plural framing, contestability, correction propagation and time-bounded interpretive records. The paper concludes that trustworthy AI must preserve not only a human role in decisions, but a meaningful human standing in the production of the interpretations on which decisions depend.
AI snapshot
Written from the paper’s full text.
TL;DR
The paper develops “hermeneutic sovereignty” as a person-centred humanities framework for protecting human meaning-making when generative AI mediates institutional interpretations of people. It identifies four mechanisms of interpretive foreclosure and proposes six diagnostic dimensions plus an Interpretive Foreclosure Test for governance.
Key findings
- Defines hermeneutic sovereignty as the situated and relational standing and capacity of persons and communities to participate meaningfully in constructing, contextualising, contesting, pluralising, revising, and, where appropriate, refusing AI-mediated interpretations of their own experiences, identities, intentions, reasons, and circumstances.
- Identifies four mechanisms of AI-mediated interpretive foreclosure: interpretive pre-emption, hermeneutic compression, authority laundering, and recursive fixation.
- Proposes six dimensions for evaluating hermeneutic sovereignty: narrative authorship, contextual integrity, interpretive contestability, plurality preservation, temporal revisability, and relational accountability; and a four-question Interpretive Foreclosure Test covering priority, compression, authority, and persistence.
- Argues human oversight is insufficient when the human merely approves a machine-framed account; governance should manage the meaning chain through human-first elicitation, source-to-summary traceability, visible uncertainty, plural framing, contestability, correction propagation, and time-bounded interpretive records. The paper cites empirical studies—e.g., Noy & Zhang (2023) on productivity, Doshi & Hauser (2024) on individual creativity increasing while collective diversity decreases, and Messeri & Crockett (2024) on illusions of understanding and scientific monocultures—but reports no original quantitative results.
Methods
- Normative and conceptual humanities study using interdisciplinary conceptual synthesis, not an empirical validation study or systematic literature review.
- Synthesises six bodies of material: philosophical hermeneutics, narrative identity, epistemic injustice, human factors and cognitive offloading, empirical generative AI research, and contemporary AI governance guidance.
- Focuses on text-generating systems in institutional or quasi-institutional settings such as education, employment, public administration, professional knowledge work, and creative industries; legal and healthcare relevance is noted but not analysed doctrinally or clinically.
Limitations
- Stated: the paper offers a theory and governance framework, not causal estimates; future work should operationalise its dimensions through experiments, document audits, interviews, and longitudinal studies.
- Stated: it does not attempt domain-specific legal or clinical analysis, and its safeguards are risk-sensitive rather than uniformly required.
- Evident in the text: several sections appear truncated, misordered, or garbled—for example, the hermeneutic compression heading is separated from its explanation, and the conclusion is interrupted—which limits clarity and completeness.
Model-written summary. Check it against the paper before relying on it.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
12 of 58 cited sources checked · 11 supported · 0 flagged · accuracy not yet measured
- Premisecitation
Existing AI governance frameworks emphasise accuracy, fairness, transparency, accountability and human oversight.
“Existing AI governance frameworks appropriately emphasise accuracy, fairness, transparency, accountability and human oversight, yet these categories do not fully capture a distinct humanities problem: a fluent machine-generated interpretation can become institutionally authoritative before the person concerned has meaningfully articulated, contextualised or contested the account.”
- Also stated in: § I. INTRODUCTION · boosted
“Contemporary AI governance is well equipped to ask whether a system is accurate, robust, fair, secure and accountable.”
Quote in the paperSubstantial claim1 of 3 sources checked- cites Autio et al., 2024;Tabassi, 2023
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Miao & Holmes, 2023
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Floridi et al., 2018 source
In “A Unified Framework of Principles for AI in Society” (page unavailable), the paper identifies fairness through justice, transparency and accountability through explicability, and human control through autonomy. Its discussion of existing frameworks does not establish accuracy as one of the categories they emphasise. The later claim about machine-generated interpretations is the citing authors’ own argument, not a point attributed to this source. (LLM, conf=0.84)
Experimental — accuracy not yet measured
- Also stated in: § I. INTRODUCTION · boosted
- Premisecitation
The epistemic injustice literature shows why collective sense-making matters for experiences that are difficult to name within dominant categories.
“The epistemic injustice literature shows why collective sense-making matters for experiences that are difficult to name within dominant categories (Fricker, 2007;Medina, 2013;Milano & Prunkl, 2025).”
Quote in the paperSubstantial claim1 of 3 sources checked - Interpretationnone given
A fluent machine-generated interpretation can become institutionally authoritative before the person concerned has meaningfully articulated, contextualised or contested the account.
“Existing AI governance frameworks appropriately emphasise accuracy, fairness, transparency, accountability and human oversight, yet these categories do not fully capture a distinct humanities problem: a fluent machine-generated interpretation can become institutionally authoritative before the person concerned has meaningfully articulated, contextualised or contested the account.”
Quote in the paperNot a substantial claim - Interpretationreasoning
Human oversight is insufficient when the human merely approves a machine-framed account.
“The analysis shows that human oversight is insufficient when the human merely approves a machine-framed account.”
Quote in the paperSubstantial claim- Rests on an assumption: Preserving human participation in the interpretation of their own lives is a good that institutions should protect.
- Premisecitation
The hermeneutic tradition supplies an account of understanding as historically situated, dialogical and revisable rather than a purely technical act of extracting fixed meaning.
“The hermeneutic tradition supplies an account of understanding as historically situated, dialogical and revisable rather than a purely technical act of extracting fixed meaning (Gadamer, 2004).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Gadamer, 2004
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premisenone given
Large language models synthesise, reformulate, classify, summarise and narrate rather than merely retrieving stored facts or calculating predetermined outcomes.
“Large language models do not merely retrieve stored facts or calculate predetermined outcomes.They synthesise, reformulate, classify, summarise and narrate.”
Quote in the paperNot a substantial claim - Interpretationreasoning
Existing AI governance categories do not fully capture a distinct humanities problem of AI-mediated interpretation of persons.
“Existing AI governance frameworks appropriately emphasise accuracy, fairness, transparency, accountability and human oversight, yet these categories do not fully capture a distinct humanities problem: a fluent machine-generated interpretation can become institutionally authoritative before the person concerned has meaningfully articulated, contextualised or contested the account.”
Quote in the paperSubstantial claim - Interpretationnone given
Even where an AI system has no consciousness, intention or lived understanding, its output can perform an interpretive function once a human or institution uses that output as a representation of another person's circumstances.
“Even where an AI system has no consciousness, intention or lived understanding, its output can perform an interpretive function once a human or institution uses that output as a representation of another person's circumstances.”
Quote in the paperNot a substantial claim - Interpretationreasoning
A gap remains between having a human in the loop and preserving a human place in the production of meaning.
“Yet a gap remains between having a human in the loop and preserving a human place in the production of meaning.”
Quote in the paperNot a substantial claim- Rests on an assumption: Preserving human participation in the interpretation of their own lives is a good that institutions should protect.
- Interpretationcitation
The benefits of generative AI help explain why generative systems are becoming embedded in knowledge work rather than remaining optional writing aids.
“These benefits help explain why generative systems are becoming embedded in knowledge work rather than remaining optional writing aids.”
Quote in the paperSubstantial claim - Premisecitation
Epistemic injustice scholarship shows that power affects who is heard as a knower and what interpretive resources are available for making sense of experience.
“Epistemic injustice scholarship shows that power affects who is heard as a knower and what interpretive resources are available for making sense of experience (Dotson, 2011;Fricker, 2007;Medina, 2013;Pohlhaus, 2012).”
Quote in the paperSubstantial claim0 of 3 sources checked - Interpretationreasoning
Once AI-generated framings become the default representation, later human judgment can be constrained by the language, categories and causal story already supplied.
“Once such framings become the default representation, later human judgment can be constrained by the language, categories and causal story already supplied.”
Quote in the paperNot a substantial claim - Interpretationreasoning
Labels such as 'high risk,' 'unmotivated,' 'non-compliant,' 'gifted,' 'unreliable,' or 'leadership potential' can become durable narrative positions from which later conduct is interpreted.
“Labels such as”
Quote in the paperSubstantial claim - Premisecitation
Language models' outputs arise from statistical patterning over linguistic data.
“Bender et al. (2021) caution against attributing human-like understanding to language models whose outputs arise from statistical patterning over linguistic data.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Bender et al. (2021) source
- Premisecitation
Personal identity is not exhausted by static attributes.
“Personal identity is not exhausted by static attributes.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Ricoeur, 1992
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationreasoning
Interpretive authority can shift without explicit delegation.
“These insights matter because interpretive authority can shift without explicit delegation.”
Quote in the paperSubstantial claim - Interpretationreasoning
Algorithmic systems can interact with these structures rather than merely reproducing biased outputs.
“Algorithmic systems can interact with these structures rather than merely reproducing biased outputs.”
Quote in the paperNot a substantial claim - Premisecitation
Understanding occurs from within historically and linguistically situated horizons.
“Understanding occurs from within historically and linguistically situated horizons.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Gadamer (2004)
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationreasoning
Institutional descriptions participate in the narrative environment of personal identity.
“Institutional descriptions participate in this narrative environment.”
Quote in the paperSubstantial claim - Interpretationreasoning
Equal formal access to the process does not neutralise this asymmetry.
“Equal formal access to the process does not neutralise this asymmetry.”
Quote in the paperSubstantial claim - Interpretationreasoning
A large language model can occupy a much more consequential role than a spelling checker.
“A large language model can occupy a much more consequential role.”
Quote in the paperNot a substantial claim - Interpretationreasoning
A provisional narrative can acquire temporal durability without anyone consciously deciding that it should.
“A provisional narrative can therefore acquire temporal durability without anyone consciously deciding that it should.”
Quote in the paperSubstantial claim - Interpretationreasoning
Generative AI intensifies the institutional significance of the hermeneutic point.
“Generative AI intensifies the institutional significance of this point because it can manufacture linguistic coherence at very low marginal cost.”
Quote in the paperNot a substantial claim- Rests on an assumption: Generative AI can manufacture linguistic coherence at very low marginal cost.
- Premisecitation
Interpretation cannot be reduced to extracting a neutral meaning that already exists in fully determinate form.
“A foundational insight of philosophical hermeneutics is that interpretation cannot be reduced to extracting a neutral meaning that already exists in fully determinate form.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Gadamer (2004)
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premisecitation
Language models lack human-like understanding.
“For the present argument, however, the absence of model understanding does not eliminate the hermeneutic problem.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Bender et al. (2021) source
- Interpretationreasoning
An institution may receive a coherent AI-generated interpretation before it hears the affected person's own formulation.
“An institution may receive a coherent AI-generated interpretation before it hears the affected person's own formulation.”
Quote in the paperSubstantial claim - Interpretationreasoning
A user may remain nominally responsible while the first coherent wording supplied by an AI system structures subsequent judgment.
“A user may remain nominally responsible while the first coherent wording supplied by an AI system structures subsequent judgment.”
Quote in the paperNot a substantial claim - Interpretationreasoning
Generative AI raises the stakes because narrative production can become automated and recursive.
“Generative AI raises the stakes because narrative production can become automated and recursive.”
Quote in the paperSubstantial claim - Interpretationreasoning
Authority laundering weakens accountability because it obscures authorship.
“Authority laundering weakens accountability because it obscures authorship.”
Quote in the paperSubstantial claim - Interpretationreasoning
If automated intake converts a free-text account into categories before a caseworker or citizen can review the transformation, administrative convenience may determine meaning.
“If automated intake converts a free-text account into categories before a caseworker or citizen can review the transformation, administrative convenience may determine meaning.”
Quote in the paperSubstantial claim- Rests on an assumption: Public administration routinely converts lived circumstances into forms, categories and eligibility criteria.
- Interpretationcitation
In a generative setting, what is offloaded can include not only memory or calculation but framing.
“In a generative setting, what is offloaded can include not only memory or calculation but framing.”
Quote in the paperSubstantial claim - Interpretationreasoning
The same technology can pre-empt citizen narratives.
“The same technology can pre-empt citizen narratives.”
Quote in the paperSubstantial claim- Rests on an assumption: Public administration routinely converts lived circumstances into forms, categories and eligibility criteria.
- Interpretationreasoning
Hermeneutic sovereignty may be exercised collectively, particularly where groups need shared interpretive resources to identify structural harms.
“Hermeneutic sovereignty may be exercised collectively, particularly where groups need shared interpretive resources to identify structural harms.”
Quote in the paperNot a substantial claim - Interpretationreasoning
The governance problem cannot be solved by output disclaimers alone.
“The governance problem therefore cannot be solved by output disclaimers alone.”
Quote in the paperNot a substantial claim - Interpretationreasoning
Each repetition can make the original framing harder to distinguish from independently established fact.
“Each repetition can make the original framing harder to distinguish from independently established fact.”
Quote in the paperNot a substantial claim - Interpretationcitation
Creative work shows why hermeneutic sovereignty should not be understood as opposition to AI assistance.
“Creative work shows why hermeneutic sovereignty should not be understood as opposition to AI assistance.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Sakabe, 2026 source
- cites Doshi and Hauser, 2024
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationreasoning
If later systems treat the repeated statement as corroboration, a single initial interpretation can become self-confirming.
“If later systems treat the repeated statement as corroboration, a single initial interpretation can become self-confirming.”
Quote in the paperSubstantial claim - Interpretationreasoning
A person may successfully amend one record, yet an earlier AI-generated description may remain in downstream databases, cached summaries or derivative documents.
“A person may successfully amend one record, yet an earlier AI-generated description may remain in downstream databases, cached summaries or derivative documents.”
Quote in the paperNot a substantial claim - Interpretationreasoning
Each command can shift the cognitive and hermeneutic starting point.
“Yet each command can shift the cognitive and hermeneutic starting point.”
Quote in the paperNot a substantial claim - Interpretationreasoning
Interpretive power is governed through sequence, interface defaults, record architecture, escalation rules and the distribution of labour.
“Interpretive power is governed through sequence, interface defaults, record architecture, escalation rules and the distribution of labour.”
Quote in the paperSubstantial claim - Interpretationreasoning
Generative AI can help people articulate meanings that institutions previously ignored.
“The strongest objection is that generative AI can help people articulate meanings that institutions previously ignored.”
Quote in the paperNot a substantial claim- Rests on an assumption: A person with limited confidence, language proficiency or specialist vocabulary may use AI to draft a complaint, organise memories or explore alternative framings.
- Classified as probably not a substantial claim. 104
- May combine two claims. 30
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationThe NIST AI Risk Management Framework provides a practical structure for identifying and managing risks across the AI lifecycle, and its generative AI profile extends that orientation to risks associated with generative systems.
“The NIST AI Risk Management Framework, for example, provides a practical structure for identifying and managing risks across the AI lifecycle, while its generative AI profile extends that orientation to risks associated with generative systems (Autio et al., 2024;Tabassi, 2023).”
Quote in the paperNot a substantial claim1 of 2 sources checked- cites Autio et al., 2024
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Tabassi, 2023 source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationEthical frameworks such as AI4People identify autonomy, justice, explicability and other principles that should inform responsible AI.
“Ethical frameworks such as AI4People identify autonomy, justice, explicability and other principles that should inform responsible AI (Floridi et al., 2018).”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Floridi et al., 2018 source
Classified as probably not a substantial claim.
PremisecitationMilano and Prunkl (2025) argue that algorithmic profiling can generate hermeneutical injustice through epistemic fragmentation, making it harder for individuals to identify and conceptualise shared harms.
“Milano and Prunkl (2025) argue that algorithmic profiling can generate hermeneutical injustice through epistemic fragmentation, making it harder for individuals to identify and conceptualise shared harms.”
Quote in the paperSubstantial claim1 of 1 sources checked- cites Milano and Prunkl (2025) source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationRecent AI scholarship extends epistemic injustice concerns to algorithmic profiling and generative systems.
“Recent AI scholarship extends these concerns to algorithmic profiling and generative systems (Kay et al., 2024;Milano & Prunkl, 2025).”
Quote in the paperNot a substantial claim2 of 2 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationKay et al. (2024) develop the idea of generative algorithmic epistemic injustice, including hermeneutical ignorance and access injustice within AI-mediated knowledge ecosystems.
“Kay et al. (2024) develop the idea of generative algorithmic epistemic injustice, including hermeneutical ignorance and access injustice within AI-mediated knowledge ecosystems.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Kay et al. (2024) source
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationThe NIST risk management approach is lifecycle-oriented and deliberately broad.
“The NIST riskmanagement approach is lifecycle-oriented and deliberately broad (Autio et al., 2024;Tabassi, 2023).”
Quote in the paperNot a substantial claim1 of 2 sources checked- cites Autio et al., 2024
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Tabassi, 2023 source
Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing).
PremisecitationRisk-management frameworks provide valuable organisational scaffolding.
“risk-management frameworks provide valuable organisational scaffolding (Autio et al., 2024;Tabassi, 2023)”
Quote in the paperNot a substantial claim1 of 2 sources checked- cites Autio et al., 2024
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Tabassi, 2023 source
Probably not a substantial claim: may not pass S2 (checkable). May combine two claims.
PremisecitationAutonomy, justice and explicability remain essential.
“Autonomy, justice and explicability remain essential (Floridi et al., 2018)”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Floridi et al., 2018 source
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationErickson and Gregory (2025) make a related jurisprudential argument that algorithmic demands for specification can undermine the productive vagueness of legal concepts and transfer interpretive authority to extra-legal processes.
“Erickson and Gregory (2025) make a related jurisprudential argument that algorithmic demands for specification can undermine the productive vagueness of legal concepts and transfer interpretive authority to extra-legal processes.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Erickson and Gregory (2025) source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationSakabe (2026) uses interpretive sovereignty to describe human creative subjectivity in an analysis of artistic appropriation in the era of generative AI.
“Sakabe (2026) uses interpretive sovereignty to describe human creative subjectivity in an analysis of artistic appropriation in the era of generative AI.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Sakabe (2026) source
Probably not a substantial claim: may not pass S2 (checkable).
InterpretationreasoningThe humanities problem of generative AI begins where assistance becomes interpretation.
“The humanities problem begins where assistance becomes interpretation.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based).
Premisenone givenGenerative AI increasingly mediates not only what institutions decide, but how institutions interpret people.
“Generative artificial intelligence increasingly mediates not only what institutions decide, but how institutions interpret people.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable).
InterpretationreasoningThe risk of AI-mediated interpretation is interpretive foreclosure, in which one provisional account hardens too early and narrows the space in which alternative meanings can be articulated and heard.
“The resulting risk is not only decision error.It is interpretive foreclosure, in which one provisional account hardens too early and narrows the space in which alternative meanings can be articulated and heard.”
Quote in the paperNot a substantial claim- Rests on an assumption: Preserving human participation in the interpretation of their own lives is a good that institutions should protect.
Classified as probably not a substantial claim.
PremisecitationRicoeur's account of narrative identity holds that persons are not only objects described from outside; they participate in narrating continuity, action and responsibility across time.
“Ricoeur's account of narrative identity is relevant because persons are not only objects described from outside; they participate in narrating continuity, action and responsibility across time (Ricoeur, 1992).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Ricoeur, 1992
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationGenerative AI can reduce completion time and improve average quality in professional writing tasks.
“Experimental evidence shows that generative AI can reduce completion time and improve average quality in professional writing tasks (Noy & Zhang, 2023).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Noy & Zhang, 2023 source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationOziev (2026) develops hermeneutic sovereignty as a constitutional court's capacity to manage legal doubt and produce authoritative legal certainty.
“Oziev (2026) develops hermeneutic sovereignty as a constitutional court's capacity to manage legal doubt and produce authoritative legal certainty.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Oziev (2026)
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationHuman-centred guidance in education emphasises ethical validation, human agency and appropriate institutional capacity.
“Human-centred guidance in education likewise emphasises ethical validation, human agency and appropriate institutional capacity (Miao & Holmes, 2023).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Miao & Holmes, 2023
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
May combine two claims.
PremisecitationIn creative tasks, generative AI can increase individual performance while making outputs more similar at the collective level.
“In creative tasks, it can also increase individual performance while making outputs more similar at the collective level (Doshi & Hauser, 2024).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Doshi & Hauser, 2024
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S2 (checkable), S4 (based). May combine two claims.
Interpretationnone givenA generated summary is not simply a shorter version of an original; it selects salience, orders causes, establishes tone, chooses categories and suppresses some ambiguities so that others can be foregrounded.
“A generated summary is never simply a shorter version of an original.It selects salience, orders causes, establishes tone, chooses categories and suppresses some ambiguities so that others can be foregrounded.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
PremisecitationPohlhaus (2012) shows how dominant knowers can refuse interpretive resources developed from marginalised experience.
“Pohlhaus (2012) shows how dominant knowers can refuse interpretive resources developed from marginalised experience.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Pohlhaus (2012) source
Probably not a substantial claim: may not pass S2 (checkable), S4 (based).
InterpretationreasoningIts requirements rise with stakes, persistence, asymmetry of power and difficulty of reversal.
“Its requirements rise with stakes, persistence, asymmetry of power and difficulty of reversal.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationInterpretation is shaped by prior understandings and becomes productive through dialogue.
“Gadamer (2004) emphasises that interpretation is shaped by prior understandings and becomes productive through dialogue.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Gadamer (2004)
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
May combine two claims.
PremisecitationGenerative AI can increase individual creative performance while reducing collective diversity.
“it can increase individual creative performance while reducing collective diversity (Doshi & Hauser, 2024).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Doshi & Hauser, 2024
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationDotson (2011) analyses forms of silencing that occur when audiences fail to meet speakers' epistemic vulnerabilities.
“Dotson (2011) analyses forms of silencing that occur when audiences fail to meet speakers' epistemic vulnerabilities.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Dotson (2011) source
Probably not a substantial claim: may not pass S2 (checkable).
InterpretationreasoningThe conditions under which meaning appears are themselves part of what must be examined.
“It means that the conditions under which meaning appears are themselves part of what must be examined.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable).
InterpretationreasoningThe more persuasive the prose, the easier it becomes to mistake an interpretation for the underlying material itself.
“The more persuasive the prose, the easier it becomes to mistake an interpretation for the underlying material itself.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable), S4 (based).
InterpretationreasoningSovereignty is relational, not atomistic.
“Second, it is relational, not atomistic.”
Quote in the paperNot a substantial claim- Rests on an assumption: Meaning is socially formed.
Probably not a substantial claim: may not pass S2 (checkable), S4 (based).
Interpretationnone givenPersons cannot reasonably demand control over every external interpretation of them.
“Persons cannot reasonably demand control over every external interpretation of them.”
Quote in the paperNot a substantial claim- Rests on an assumption: Social life necessarily involves interpretation by others.
Classified as probably not a substantial claim.
Study design and conductnone givenThe framework is designed for empirical challenge: its dimensions generate observable questions about workflow design, record persistence, contestation and revision.
“Finally, the framework is designed for empirical challenge: its dimensions generate observable questions about workflow design, record persistence, contestation and revision.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationMedina (2013) emphasises epistemic resistance and the importance of friction among differently situated perspectives.
“Medina (2013) emphasises epistemic resistance and the importance of friction among differently situated perspectives.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Medina (2013) source
Probably not a substantial claim: may not pass S2 (checkable).
InterpretationreasoningSovereignty concerns standing as well as capacity.
“Third, it concerns standing as well as capacity.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable), S4 (based).
Interpretationnone givenSovereignty is situated, not absolute.
“First, sovereignty is situated, not absolute.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationreasoningA large language model can propose the issue, select the facts, generate the causal link, assign the tone and recommend the conclusion.
“It can propose the issue, select the facts, generate the causal link, assign the tone and recommend the conclusion.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim. May combine two claims.
PremisecitationCognitive offloading can reduce immediate mental demands while also redistributing the work required for memory, evaluation and control.
“Cognitive offloading can reduce immediate mental demands while also redistributing the work required for memory, evaluation and control (Risko & Gilbert, 2016).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Risko & Gilbert, 2016 source
Classified as probably not a substantial claim. May combine two claims.
InterpretationreasoningThe machine narrative arrives early, polished and aligned with institutional categories; the person's reply arrives later, perhaps emotionally, incompletely or outside the preferred template.
“The machine narrative arrives early, polished and aligned with institutional categories; the person's reply arrives later, perhaps emotionally, incompletely or outside the preferred template.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S2 (checkable).
InterpretationreasoningSmoothness can obscure the fact that a synthesis is an achievement of framing rather than a transparent view onto reality.
“Smoothness can be useful, but it can also obscure the fact that a synthesis is an achievement of framing rather than a transparent view onto reality.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationReliance on automation depends on trust calibration, system characteristics and context.
“Reliance on automation depends on trust calibration, system characteristics and context (Lee & See, 2004).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Lee & See, 2004 source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationGenerative AI can increase productivity and apparent quality in professional tasks.
“Generative AI can increase productivity and apparent quality in professional tasks (Noy & Zhang, 2023)”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Noy & Zhang, 2023 source
May combine two claims.
InterpretationcitationFluent assistance can narrow human exploration while improving surface-level performance.
“These findings do not prove interpretive foreclosure, but they support the plausibility of mechanisms through which fluent assistance can narrow human exploration while improving surface-level performance.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
InterpretationreasoningThis creates an asymmetry of sequence and format.
“This creates an asymmetry of sequence and format.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S2 (checkable), S4 (based).
InterpretationreasoningA person may have the intellectual ability to contest an interpretation but lack an authorised channel through which the contest can matter.
“A person may have the intellectual ability to contest an interpretation but lack an authorised channel through which the contest can matter.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenClaims about existing theory are separated from the paper's new constructs.
“Claims about existing theory are separated from the paper's new constructs.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable).
InterpretationreasoningIf a model cannot bear responsibility for understanding, then the human and institutional processes that adopt its representations become more important.
“If a model cannot bear responsibility for understanding, then the human and institutional processes that adopt its representations become more important.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationAI tools can produce illusions of understanding and scientific monocultures, where apparent productivity coexists with reduced epistemic diversity.
“In science, Messeri and Crockett (2024) warn that AI tools can produce illusions of understanding and scientific monocultures, where apparent productivity coexists with reduced epistemic diversity.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Messeri and Crockett (2024) source
Probably not a substantial claim: may not pass S2 (checkable).
InterpretationreasoningWhen such outputs are embedded in routine workflows, the system becomes interpretive infrastructure: an environment through which meaning is produced and circulated.
“When such outputs are embedded in routine workflows, the system becomes interpretive infrastructure: an environment through which meaning is produced and circulated.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Study design and conductnone givenEmpirical studies are used only for the phenomena they establish, so productivity gains, output similarity, automation reliance and illusions of understanding are evidence of relevant tendencies rather than direct proof of institutional injustice.
“Empirical studies are used only for the phenomena they establish, so productivity gains, output similarity, automation reliance and illusions of understanding are evidence of relevant tendencies rather than direct proof of institutional injustice.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S4 (based).
InterpretationreasoningAn appeal channel may formally exist while the person lacks access to the source material or sufficient explanation to use it.
“Conversely, an appeal channel may formally exist while the person lacks access to the source material or sufficient explanation to use it.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable).
InterpretationreasoningNot every interpretation is equally valid.
“This does not imply that every interpretation is equally valid.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based). May combine two claims.
InterpretationreasoningOnce an AI-generated summary enters a record, subsequent systems may retrieve it, compress it again, use it as context for another generation, or present it to future decisionmakers.
“Once an AI-generated summary enters a record, subsequent systems may retrieve it, compress it again, use it as context for another generation, or present it to future decisionmakers.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Study design and conductreasoningThe paper offers a theory and governance framework, not causal estimates.
“The principal limitation is therefore intentional: the paper offers a theory and governance framework, not causal estimates.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
InterpretationreasoningA case file containing uncertainty, contradiction and incomplete testimony can be transformed into a smooth paragraph.
“A case file containing uncertainty, contradiction and incomplete testimony can be transformed into a smooth paragraph.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S2 (checkable).
InterpretationreasoningThis is a distinct form of power: not the power to make one decision, but the power to establish the story from which later decisions begin.
“This is a distinct form of power: not the power to make one decision, but the power to establish the story from which later decisions begin.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable).
PremisecitationPersonal identity is narrated through action, memory, character, promise and revision across time.
“It is narrated through action, memory, character, promise and revision across time (Ricoeur, 1992).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Ricoeur, 1992
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S4 (based).
InterpretationreasoningA phrase such as 'resistant to change' can migrate from one AI-assisted review into succession planning, development recommendations and later prompts.
“A phrase such as”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable).
InterpretationreasoningExplanation does not create standing if the affected person cannot append a counteraccount.
“Explanation does not create standing if the affected person cannot append a counteraccount.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
InterpretationreasoningThe Interpretive Foreclosure Test complements rather than replaces existing AI risk management.
“The test complements rather than replaces existing AI risk management.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S2 (checkable).
InterpretationreasoningWithout a propagation-aware correction process, an initially weak interpretation can become organisational memory.
“Without a propagation-aware correction process, an initially weak interpretation can become organisational memory.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable), S4 (based).
Interpretationnone givenCorrection is often local while propagation is systemic.
“This mechanism is particularly important because correction is often local while propagation is systemic.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim. May combine two claims.
InterpretationreasoningDeliberate plural prompting and temporal separation introduce productive friction.
“These practices introduce productive friction.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S2 (checkable). May combine two claims.
InterpretationreasoningThe human can attribute the wording to the system; the system cannot answer for the judgment.
“The human can attribute the wording to the system; the system cannot answer for the judgment.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable), S4 (based).
Interpretationnone givenA human reviewer may retain formal authority while narrative authorship, contextual integrity and plurality have already been lost.
“A human reviewer may retain formal authority while narrative authorship, contextual integrity and plurality have already been lost.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based).
InterpretationreasoningWhen AI synthesises emails, project data or prior feedback, it can transform scattered observations into an authoritative organisational identity.
“When AI synthesises emails, project data or prior feedback, it can transform scattered observations into an authoritative organisational identity.”
Quote in the paperNot a substantial claim- Rests on an assumption: Generative AI is particularly attractive in performance management because managers face large documentation burdens.
Probably not a substantial claim: may not pass S3 (load-bearing).
InterpretationreasoningThe same logic responds to the risk of monoculture identified by Messeri and Crockett.
“The same logic responds to the risk of monoculture identified by Messeri and Crockett (2024).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Messeri and Crockett, 2024 source
Probably not a substantial claim: may not pass S2 (checkable).
InterpretationreasoningHermeneutic sovereignty does not require employees to control performance judgments.
“Hermeneutic sovereignty does not require employees to control performance judgments.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based).
Interpretationnone givenPerformance reviews narrate contribution, potential, attitude and trajectory.
“They narrate contribution, potential, attitude and trajectory.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationAI assistance can improve individual outputs while reducing collective diversity.
“Doshi and Hauser (2024) find that AI assistance can improve individual outputs while reducing collective diversity.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Doshi and Hauser (2024)
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Classified as probably not a substantial claim.
PremisecitationSakabe's account of interpretive sovereignty in creative authorship and Doshi and Hauser's empirical findings both point toward a more nuanced relationship.
“Sakabe's (2026) account of interpretive sovereignty in creative authorship and Doshi and Hauser's (2024) empirical findings both point toward a more nuanced relationship.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Sakabe, 2026 source
- cites Doshi and Hauser, 2024
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S2 (checkable), S4 (based).
Interpretationnone givenResponsibility is diffused between user, model, vendor and workflow.
“Responsibility is diffused between user, model, vendor and workflow.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable), S4 (based).
Interpretationnone givenAppeals address outcomes while the underlying narrative remains fixed.
“Appeals address outcomes while the underlying narrative remains fixed.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based).
Interpretationnone givenHermeneutic sovereignty can be evaluated through six dimensions.
“Hermeneutic sovereignty can be evaluated through six dimensions.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable).
InterpretationreasoningRecursive fixation transforms a temporal convenience into a governance problem.
“Recursive fixation transforms a temporal convenience into a governance problem.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable).
InterpretationreasoningDeliberate plural prompting and temporal separation preserve the user's role as an originator and evaluator rather than turning review into acceptance of the first fluent proposal.
“They preserve the user's role as an originator and evaluator rather than turning review into acceptance of the first fluent proposal.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationreasoningWhen a common model, prompt library or organisational template structures many cases, the institution may become more linguistically consistent while becoming less hermeneutically plural.
“When a common model, prompt library or organisational template structures many cases, the institution may become more linguistically consistent while becoming less hermeneutically plural.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S2 (checkable). May combine two claims.
InterpretationreasoningAI supports sovereignty when it expands the person's repertoire while keeping alternatives visible and preserving the person's capacity to revise or refuse.
“AI supports sovereignty when it expands the person's repertoire while keeping alternatives visible and preserving the person's capacity to revise or refuse.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable), S4 (based).
Interpretationnone givenMachine framing becomes the default starting narrative.
“Machine framing becomes the default starting narrative.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing), S4 (based). May combine two claims.
Interpretationnone givenEarly labels persist and become self-confirming.
“Early labels persist and become self-confirming.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable), S4 (based).
Interpretationnone givenOne fluent synthesis suppresses alternatives too early.
“One fluent synthesis suppresses alternatives too early.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
InterpretationreasoningAll three elements of hermeneutic sovereignty-standing, capacity and uptake-are necessary.
“All three are necessary.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationUNESCO guidance correctly emphasises human-centred use, capacity development and pedagogical validation.
“UNESCO guidance correctly emphasises human-centred use, capacity development and pedagogical validation (Miao & Holmes, 2023).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Miao & Holmes, 2023
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S2 (checkable), S4 (based). May combine two claims.
Interpretationnone givenThe AI does not possess institutional legitimacy, yet its fluency can mask the point at which discretionary choices entered the process.
“The AI does not possess institutional legitimacy, yet its fluency can mask the point at which discretionary choices entered the process.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationreasoningGenerative AI can increase access to interpretive resources and counter some forms of epistemic disadvantage.
“Generative AI can therefore increase access to interpretive resources and counter some forms of epistemic disadvantage.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationAI-supported science can encourage illusions of understanding, where researchers feel they comprehend more than they actually do, while the scientific community becomes vulnerable to monocultures.
“Messeri and Crockett (2024) show how AI-supported science can encourage illusions of understanding, where researchers feel that they comprehend more than they actually do, while the scientific community becomes vulnerable to monocultures.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Messeri and Crockett (2024) source
Classified as probably not a substantial claim.
Interpretationnone givenA formal right to contest can be hollow if sources are unavailable or the generated narrative has already propagated.
“A formal right to contest can also be hollow if sources are unavailable or the generated narrative has already propagated.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S2 (checkable).
InterpretationreasoningA comment box offers little uptake if no reviewer must address the correction.
“A comment box offers little uptake if no reviewer must address the correction.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
InterpretationreasoningRecursive fixation connects hermeneutic sovereignty to data lifecycle management.
“It also connects hermeneutic sovereignty to data lifecycle management.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable), S4 (based).
Interpretationnone givenPerformance reviews are not neutral compilations of facts.
“Yet performance reviews are not neutral compilations of facts.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationreasoningAI does not create interpretation or injustice for the first time; it changes their scale, speed, standardisation and persistence.
“AI does not create interpretation or injustice for the first time.It changes their scale, speed, standardisation and persistence.”
Quote in the paperSubstantial claim- Rests on an assumption: Generative systems can produce polished summaries instantly, propagate them across organisational systems and normalise a shared style of reasoning, while responsibility becomes easier to diffuse.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationResearch on automation shows that trust and reliance are shaped by context, perceived competence and system presentation.
“Research on automation shows that trust and reliance are shaped by context, perceived competence and system presentation (Lee & See, 2004).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Lee & See, 2004 source
Probably not a substantial claim: may not pass S2 (checkable), S4 (based).
Interpretationnone givenRich circumstances are compressed into administratively convenient categories.
“Rich circumstances are compressed into administratively convenient categories.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable), S4 (based).
Interpretationnone givenThe alternative interpretation need not be correct.
“The alternative interpretation need not be correct.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable), S4 (based). May combine two claims.
InterpretationreasoningA workflow can use substantial AI assistance while preserving sovereignty if human accounts are elicited first, uncertainty is maintained, sources remain inspectable, alternatives can be expressed, corrections propagate and accountable humans own the final interpretation.
“Conversely, a workflow can use substantial AI assistance while preserving sovereignty if human accounts are elicited first, uncertainty is maintained, sources remain inspectable, alternatives can be expressed, corrections propagate and accountable humans own the final interpretation.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable).
InterpretationreasoningAI undermines sovereignty when the generated frame becomes difficult to escape because of sequence, authority or persistence.
“It undermines sovereignty when the generated frame becomes difficult to escape because of sequence, authority or persistence.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
InterpretationreasoningA positive answer to one question on the Interpretive Foreclosure Test is not automatically unacceptable.
“A positive answer to one question is not automatically unacceptable.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim. May combine two claims.
PremisecitationCognitive offloading research shows that people strategically externalise cognitive work, sometimes based on imperfect metacognitive judgments.
“Cognitive offloading research likewise shows that people strategically externalise cognitive work, sometimes based on imperfect metacognitive judgments (Risko & Gilbert, 2016).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Risko & Gilbert, 2016 source
Probably not a substantial claim: may not pass S2 (checkable), S4 (based).
Interpretationnone givenThe six dimensions function as normative and diagnostic dimensions that can be translated into domain-specific indicators.
“They function as normative and diagnostic dimensions that can be translated into domain-specific indicators.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable).
InterpretationcitationCognitive sovereignty extends from knowing and checking toward self-interpretation in institutional contexts.
“This extends cognitive sovereignty from knowing and checking toward self-interpretation in institutional contexts (Tan, 2026b).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Tan, 2026b
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S2 (checkable).
InterpretationreasoningThe configuration of all four conditions creates a pathway from convenience to interpretive domination.
“That configuration creates a pathway from convenience to interpretive domination.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
InterpretationreasoningRisk becomes especially serious when all four conditions of the Interpretive Foreclosure Test align: the machine speaks first, compresses complexity, acquires institutional authority and persists over time.
“Risk becomes especially serious when all four conditions align: the machine speaks first, compresses complexity, acquires institutional authority and persists over time.”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationcitationInstitutional interpretation can exhibit an analogous tension: standardised generated language may raise average clarity and consistency, yet also reduce the variety of ways in which ambiguous situations are described.
“Institutional interpretation can exhibit an analogous tension.Standardised generated language may raise average clarity and consistency, yet also reduce the variety of ways in which ambiguous situations are described.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S2 (checkable).
InterpretationreasoningThe concern arises when the system becomes the default source of interpretation rather than an interlocutor within a human-led process.
“The concern arises when the system becomes the default source of interpretation rather than an interlocutor within a human-led process.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable).
InterpretationreasoningThis infrastructural role is easy to overlook because the interface often presents generation as assistance.
“This infrastructural role is easy to overlook because the interface often presents generation as assistance.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable), S4 (based).
Interpretationnone givenForeclosure need not be deliberate and can emerge from convenience, incentives and the rhetorical force of fluent synthesis.
“Foreclosure need not be deliberate and can emerge from convenience, incentives and the rhetorical force of fluent synthesis.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing).
InterpretationreasoningBoth approaches point toward a broader question of human control under AI mediation.
“Both approaches point toward a broader question of human control under AI mediation.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable), S4 (based).
Interpretationnone givenThe distinctive risk of generative AI is the speed, scale and linguistic completeness with which compression can occur.
“The distinctive risk of generative AI is the speed, scale and linguistic completeness with which compression can occur.”
Quote in the paperNot a substantial claim- Rests on an assumption: All institutions compress information.
Probably not a substantial claim: may not pass S2 (checkable), S4 (based).
InterpretationreasoningA technically safe model can still participate in an unfair meaning chain if the surrounding workflow gives its interpretations premature or irreversible authority.
“A technically safe model can still participate in an unfair meaning chain if the surrounding workflow gives its interpretations premature or irreversible authority.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable), S4 (based).
Premisenone givenSome friction forces source inspection, comparison and reason-giving.
“Some friction is valuable because it forces source inspection, comparison and reason-giving.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based).
Interpretationnone givenFour mechanisms explain how hermeneutic sovereignty can be weakened: interpretive pre-emption, hermeneutic compression, authority laundering and recursive fixation.
“Four mechanisms explain how this standing can be weakened: interpretive pre-emption, hermeneutic compression, authority laundering and recursive fixation.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing), S4 (based).
Interpretationnone givenThese requirements also clarify the limits of general AI ethics principles.
“These requirements also clarify the limits of general AI ethics principles.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable).
InterpretationreasoningRequiring institutions to know who adopted an account, what evidence was relied upon, what material uncertainty remained, and whether the affected person's account was considered re-establishes responsibility at the point where machine prose becomes institutional action.
“This re-establishes responsibility at the point where machine prose becomes institutional action.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based).
Interpretationnone givenA system can be documented, privacy-preserving and technically reliable while still narrowing the interpretive standing of those it represents.
“A system can be documented, privacy-preserving and technically reliable while still narrowing the interpretive standing of those it represents.”
Quote in the paperNot a substantial claim- Rests on an assumption: Overdocumentation can itself burden and surveil.
Probably not a substantial claim: may not pass S2 (checkable).
InterpretationreasoningWhen machine-generated interpretations become the starting point for evaluation, administration or professional judgment, a new humanities problem emerges: the person may remain formally present while losing practical standing in the construction of meaning.
“When machine-generated interpretations become the starting point for evaluation, administration or professional judgment, a new humanities problem emerges: the person may remain formally present while losing practical standing in the construction of meaning.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable).
InterpretationreasoningGenerative AI changes the governance of interpretation.
“Generative AI changes the governance of interpretation.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable).
InterpretationreasoningTogether the four mechanisms describe AI-mediated interpretive foreclosure, a process through which provisional machine framings can become authoritative before adequate human interpretation has occurred.
“Together they describe AI-mediated interpretive foreclosure, a process through which provisional machine framings can become authoritative before adequate human interpretation has occurred.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationTan (2026b) develops cognitive sovereignty as the capacity to originate, evaluate, contest, retain and responsibly own knowledge claims even when computational assistance is used.
“Tan (2026b) develops cognitive sovereignty as the capacity to originate, evaluate, contest, retain and responsibly own knowledge claims even when computational assistance is used.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Tan (2026b)
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S2 (checkable), S4 (based).
InterpretationreasoningIf revision does not follow derived summaries, dashboards and downstream systems, the formal right to correction is defeated by recursive fixation.
“Otherwise, the formal right to correction is defeated by recursive fixation.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable), S4 (based).
Interpretationnone givenThe significance of generative AI lies not only in faster drafting, better search or automated recommendation, but in its growing ability to supply the language through which institutions understand people.
“Its significance lies not only in faster drafting, better search or automated recommendation, but in its growing ability to supply the language through which institutions understand people.”
Quote in the paperNot a substantial claim
The paper relies on this without support.
Preserving human participation in the interpretation of their own lives is a good that institutions should protect.
“The present paper develops a different, person-centred and relational concept: the standing and capacity of affected persons and communities to participate in the construction, contestation and revision of AI-mediated interpretations that may shape institutional treatment.”
The paper relies on this without support.
Generative AI can manufacture linguistic coherence at very low marginal cost.
“Generative AI intensifies the institutional significance of this point because it can manufacture linguistic coherence at very low marginal cost.”
The paper relies on this without support.
Social life necessarily involves interpretation by others.
“Social life necessarily involves interpretation by others.”
The paper relies on this without support.
Meaning is socially formed.
“Meaning is socially formed, and institutions legitimately interpret conduct for shared purposes.”
The paper relies on this without support.
Institutions legitimately interpret conduct for shared purposes.
“Meaning is socially formed, and institutions legitimately interpret conduct for shared purposes.”
The paper relies on this without support.
First framings can anchor later deliberation.
“The shift matters because first framings can anchor later deliberation.”
The paper relies on this without support.
Even when a human edits the output, the generated structure determines what must be actively noticed and overturned.
“Even when a human edits the output, the generated structure determines what must be actively noticed and overturned.”
The paper relies on this without support.
A person reviewing a fluent summary is not in the same epistemic position as one constructing an account from primary material.
“A person reviewing a fluent summary is not in the same epistemic position as one constructing an account from primary material.”
The paper relies on this without support.
What the generated text omits may never become salient enough to challenge.
“What the generated text omits may never become salient enough to challenge.”
The paper relies on this without support.
Generative systems produce language with a degree of fluency that can exceed the certainty of the underlying evidence.
“Generative systems produce language with a degree of fluency that can exceed the certainty of the underlying evidence.”
The paper relies on this without support.
A fully factually accurate summary may still be normatively incomplete.
“A fully factually accurate summary may still be normatively incomplete.”
The paper relies on this without support.
A summary may omit hesitation, disagreement, context or alternative causal explanations in order to achieve coherence.
“It may omit hesitation, disagreement, context or alternative causal explanations in order to achieve coherence.”
The paper relies on this without support.
An account becomes cognitively satisfying enough to reduce the perceived need for further interpretation.
“It is that an account becomes cognitively satisfying enough to reduce the perceived need for further interpretation.”
The paper relies on this without support.
Sequence matters because initial frames structure attention.
“Sequence matters because initial frames structure attention.”
The paper relies on this without support.
Generative AI can function simultaneously as tutor, evaluator, editor and diagnostic narrator in education.
“Education provides a clear illustration because generative AI can function simultaneously as tutor, evaluator, editor and diagnostic narrator.”
The paper relies on this without support.
Generative AI is particularly attractive in performance management because managers face large documentation burdens.
“Generative AI is particularly attractive in performance management because managers face large documentation burdens.”
The paper relies on this without support.
Organisations have legitimate evaluative authority.
“Organisations have legitimate evaluative authority.”
The paper relies on this without support.
Public administration routinely converts lived circumstances into forms, categories and eligibility criteria.
“Public administration routinely converts lived circumstances into forms, categories and eligibility criteria.”
The paper relies on this without support.
Generative AI may improve accessibility by helping citizens explain complex situations, translating between registers and assisting caseworkers with document synthesis.
“Generative AI may improve accessibility by helping citizens explain complex situations, translating between registers and assisting caseworkers with document synthesis.”
The paper relies on this without support.
In some cases, AI can enhance hermeneutic sovereignty by giving people language for experiences they struggled to articulate.
“In some cases, AI can enhance hermeneutic sovereignty by giving people language for experiences they struggled to articulate.”
The paper relies on this without support.
The risk of pre-empting citizen narratives is heightened by language barriers, disability, low institutional literacy or unequal power.
“The risk is heightened by language barriers, disability, low institutional literacy or unequal power.”
The paper relies on this without support.
In ambiguous domains, disagreement can be information.
“In ambiguous domains, disagreement can be information.”
The paper relies on this without support.
A person with limited confidence, language proficiency or specialist vocabulary may use AI to draft a complaint, organise memories or explore alternative framings.
“A person with limited confidence, language proficiency or specialist vocabulary may use AI to draft a complaint, organise memories or explore alternative framings.”
The paper relies on this without support.
Human interpretation has always depended on language, cultural resources, institutions and other people.
“Human interpretation has always depended on language, cultural resources, institutions and other people.”
The paper relies on this without support.
All institutions compress information.
“All institutions compress information.”
The paper relies on this without support.
Meaning is relational, and no individual has exclusive ownership over how others interpret conduct.
“Meaning is relational, and no individual has exclusive ownership over how others interpret conduct.”
The paper relies on this without support.
Most organisations use AI for low-stakes summarisation, scheduling, drafting and search.
“Most organisations use AI for low-stakes summarisation, scheduling, drafting and search.”
The paper relies on this without support.
Human decision-makers anchor, stereotype and repeat past narratives.
“Human decision-makers also anchor, stereotype and repeat past narratives.”
The paper relies on this without support.
Interpretive foreclosure predates AI.
“A third objection is that interpretive foreclosure predates AI.”
The paper relies on this without support.
Overdocumentation can itself burden and surveil.
“Overdocumentation can itself burden and surveil.”
The paper relies on this without support.
Generative systems can produce polished summaries instantly, propagate them across organisational systems and normalise a shared style of reasoning, while responsibility becomes easier to diffuse.
“Generative systems can produce polished summaries instantly, propagate them across organisational systems and normalise a shared style of reasoning, while responsibility becomes easier to diffuse.”
The paper relies on this without support.
Too much friction may reduce access, delay services or encourage informal workarounds.
“Too much friction may reduce access, delay services or encourage informal workarounds.”
The paper relies on this without support.
Concepts of personhood, authority, narrative responsibility and collective identity vary.
“Concepts of personhood, authority, narrative responsibility and collective identity vary.”
Cites
Epistemic Injustice: Power and the Ethics of Knowing
Fricker, M. (2007) · doi:10.1093/acprof:oso/9780198237907.001.0001 · Cited by 9,198 · see citing works
On the Dangers of Stochastic Parrots: Can Language Models Be Too Big? 🦜
Bender, E. M., Gebru, T., McMillan-Major, A., & Shmitchell, S. (2021) · Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency · doi:10.1145/3442188.3445922 · Cited by 6,988 · see citing works
Trust in Automation: Designing for Appropriate Reliance
Lee, J. D., & See, K. A. (2004) · Human Factors: The Journal of the Human Factors and Ergonomics Society · doi:10.1518/hfes.46.1.50_30392 · Cited by 6,605 · see citing works
Floridi, L., Cowls, J., Beltrametti, M., Chatila, R., Chazerand, P., Dignum, V., Luetge, C., Madelin, R., Pagallo, U., Rossi, F., et al. (2018) · Minds and Machines · doi:10.1007/s11023-018-9482-5 · Cited by 4,774 · see citing works
Experimental evidence on the productivity effects of generative artificial intelligence
Noy, S., & Zhang, W. (2023) · Science · doi:10.1126/science.adh2586 · Cited by 2,150 · see citing works
Tracking Epistemic Violence, Tracking Practices of Silencing
Dotson, K. (2011) · Hypatia · doi:10.1111/j.1527-2001.2011.01177.x · Cited by 2,150 · see citing works
Risko, E. F., & Gilbert, S. J. (2016) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2016.07.002 · Cited by 1,502 · see citing works
Artificial Intelligence Risk Management Framework (AI RMF 1.0)
Tabassi, E. (2023) · doi:10.6028/nist.ai.100-1 · Cited by 1,136 · see citing works
Generative artificial intelligence enhances creativity but reduces the diversity of novel content
Doshi, A., & Hauser, O. (2023) · doi:10.2139/ssrn.4535536 · Cited by 887 · see citing works
Guidance for generative AI in education and research
(2023) · doi:10.54675/ewzm9535 · Cited by 808 · see citing works
Pohlhaus, G. (2012) · Hypatia · doi:10.1111/j.1527-2001.2011.01222.x · Cited by 745 · see citing works
Artificial intelligence and illusions of understanding in scientific research
Messeri, L., & Crockett, M. J. (2024) · Nature · doi:10.1038/s41586-024-07146-0 · Cited by 707 · see citing works
Ricoeur, P., & Blamey, K. (1994) · doi:10.7208/chicago/9780226844541.001.0001 · Cited by 696 · see citing works
Artificial intelligence risk management framework :
National Institute of Standards and Technology (US) (2024) · NIST Trustworthy and Responsible AI · doi:10.6028/nist.ai.600-1 · Cited by 274 · see citing works
Epistemic Injustice in Generative AI
Kay, J., Kasirzadeh, A., & Mohamed, S. (2024) · Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society · doi:10.1609/aies.v7i1.31671 · Cited by 76 · see citing works
Algorithmic profiling as a source of hermeneutical injustice
Milano, S., & Prunkl, C. (2025) · Philosophical Studies · doi:10.1007/s11098-023-02095-2 · Cited by 27 · see citing works
Against Algorithmic Clarity: Law Beyond Specification
Erickson, J., & Gregory, M. (2025) · International Journal for the Semiotics of Law - Revue internationale de Sémiotique juridique · doi:10.1007/s11196-025-10379-5 · Cited by 6 · see citing works
Kwan Hong, T. A. N. (2026) · International Journal of Law Management & Humanities · doi:10.63108/ijlmh.12537 · Cited by 4 · see citing works
Self-citationSakabe, H. (2026) · Design Convergence Study · doi:10.31678/sdc117.3 · Cited by 1 · see citing works
Озиев, Т. Т. (2026) · Izvestiya of Saratov University Economics Management Law · doi:10.18500/1994-2540-2026-26-2-206-216 · Cited by 1 · see citing works
Tan, K. H. (2026) · International Journal of Research Publication and Reviews · doi:10.55248/gengpi.07.0726.2117 · Cited by 1 · see citing works
Self-citationTan, K. H. (2026) · doi:10.13140/rg.2.2.21311.27045
Self-citationTan, K. H. (2026) · doi:10.13140/rg.2.2.16225.67683
Self-citation
Flagged first, then by citations
Research works printed but not linked: 1
- Gadamer, H.-G. (2004). Truth and method (J. Weinsheimer & D. G. Marshall, Trans.; 2nd rev. ed.). Continuum.
- Authors
- TAN, K. H.
- Affiliations
- Singapore University of Social Sciences (SG)
- Corresponding author
- TAN, Kwan Hong
- ORCID
- TAN, Kwan Hong
- Venue
- International Journal of Law Management & Humanities
- Publisher
- VidhiAagaz
- Published
- 2026-09-04
- Volume
- 9
- Issue
- V
- Pages
- 1-23
- ISSN
- 2581-5369 (ISSN-L)
- OpenAlex
- W7208759837
- Semantic Scholar
- 4497d495108bfb34b4fb99f0805499aec9824845
- Cited by
- 0
- References
- 22
- FWCI
- 0.00
- Type
- journal article
- Open access
- hybrid
- doi.org
- Licence
- Locations
- International Journal of Law Management & Humanities (publishedVersion, cc-by-nc)
- Topics
- Social Sciences › Safety Research › Ethics and Social Impacts of AI
- Physical Sciences › Computer Science › Artificial Intelligence › Explainable Artificial Intelligence (XAI)
- Social Sciences › Law › Digitalization, Law, and Regulation
- Keywords
- generative AI, epistemic injustice, narrative identity, human oversight, AI governance, trustworthy AI, traceability, contestability, human factors
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Claims read by deepseek-v4.1-flash under definition version 3 (extract-v3) on 2026-10-19.
Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-10-19.
Cited sources are checked by gpt-6-sol.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review