Cited by 16Blockchain Technology Applications and SecurityMisinformation and Its ImpactsEthics and Social Impacts of AI

Trustworthy AI for Whom? GenAI Detection Techniques of Trust Through Decentralized Web3 Ecosystems

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Calzada, Igor, Németh, Géza, Al-Radhi, Mohammed Salah·2025·Big Data and Cognitive Computing

Published version of a preprint

Abstract

As generative AI (GenAI) technologies proliferate, ensuring trust and transparency in digital ecosystems becomes increasingly critical, particularly within democratic frameworks. This article examines decentralized Web3 mechanisms—blockchain, decentralized autonomous organizations (DAOs), and data cooperatives—as foundational tools for enhancing trust in GenAI. These mechanisms are analyzed within the framework of the EU’s AI Act and the Draghi Report, focusing on their potential to support content authenticity, community-driven verification, and data sovereignty. Based on a systematic policy analysis, this article proposes a multi-layered framework to mitigate the risks of AI-generated misinformation. Specifically, as a result of this analysis, it identifies and evaluates seven detection techniques of trust stemming from the action research conducted in the Horizon Europe Lighthouse project called ENFIELD: (i) federated learning for decentralized AI detection, (ii) blockchain-based provenance tracking, (iii) zero-knowledge proofs for content authentication, (iv) DAOs for crowdsourced verification, (v) AI-powered digital watermarking, (vi) explainable AI (XAI) for content detection, and (vii) privacy-preserving machine learning (PPML). By leveraging these approaches, the framework strengthens AI governance through peer-to-peer (P2P) structures while addressing the socio-political challenges of AI-driven misinformation. Ultimately, this research contributes to the development of resilient democratic systems in an era of increasing technopolitical polarization.

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Authors
Calzada, I., Németh, G., & Al-Radhi, M. S.
Affiliations
  • Ikerbasque (ES)
  • University of the Basque Country (ES)
  • Fulbright Commission (GB)
Corresponding author
Calzada, Igor
Venue
Big Data and Cognitive Computing
Publisher
MDPI AG
Published
2025-03-06
Volume
9
Issue
3
Pages
62
ISSN
2504-2289 (ISSN-L)
OpenAlex
W4408186450
Cited by
16
References
145
Citations by year
2026: 8 · 2025: 8
FWCI
16.49
Type
journal article
Language
en
Open access
Locations
  • Big Data and Cognitive Computing (publishedVersion, cc-by)
  • Preprints.org (acceptedVersion, cc-by)
  • SSRN Electronic Journal (acceptedVersion)
  • ORCA Online Research @Cardiff (Cardiff University) (acceptedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
  • European Commission, Horizon 2020, H2020-MSCA-COFUND-2020-101034228-WOLFRAM2: Ikerbasque Start Up Fund (3021.23.EMAJ, IT 1441-22, IT 1541-22, PT10859, SGA oc1-2024-TES-01-01, 2024-LAB2-007-01, 524205, 2022-23, PS00334379, ES/S012435/1, PT10937)
  • UPV-EHU, Research Groups (3021.23.EMAJ, IT 1441-22, IT 1541-22, PT10859, SGA oc1-2024-TES-01-01, 2024-LAB2-007-01, 524205, 2022-23, PS00334379, ES/S012435/1, PT10937)
  • Presidency of the Basque Government, External Affairs General Secretary, Basque Communities Abroad Direction, Scientific Direction and Strategic Advisory e-Diaspora Platform HanHemen (3021.23.EMAJ, IT 1441-22, IT 1541-22, PT10859, SGA oc1-2024-TES-01-01, 2024-LAB2-007-01, 524205, 2022-23, PS00334379, ES/S012435/1, PT10937)
  • Ayuda en Acción NGO, Innovation & Impact Unit, Research Contract: Scientific Direction and Strategic Advisory (3021.23.EMAJ, IT 1441-22, IT 1541-22, PT10859, SGA oc1-2024-TES-01-01, 2024-LAB2-007-01, 524205, 2022-23, PS00334379, ES/S012435/1, PT10937)
  • European Commission, Horizon Europe, ENFIELD-European Lighthouse to Manifest Trustworthy and Green AI, HORIZON-CL4-2022-HUMAN-02-02-101120657 (3021.23.EMAJ, IT 1441-22, IT 1541-22, PT10859, SGA oc1-2024-TES-01-01, 2024-LAB2-007-01, 524205, 2022-23, PS00334379, ES/S012435/1, PT10937)
  • Gipuzkoa Province Council, Etorkizuna Eraikiz 2024: AI’s Social Impact in the Historical Province of Gipuzkoa (AI4SI) (3021.23.EMAJ, IT 1441-22, IT 1541-22, PT10859, SGA oc1-2024-TES-01-01, 2024-LAB2-007-01, 524205, 2022-23, PS00334379, ES/S012435/1, PT10937)
  • Warsaw School of Economics SGH (Poland) by RID LEAD, Regional Excellence Initiative Programme (3021.23.EMAJ, IT 1441-22, IT 1541-22, PT10859, SGA oc1-2024-TES-01-01, 2024-LAB2-007-01, 524205, 2022-23, PS00334379, ES/S012435/1, PT10937)
  • SOAM Residence Programme: Network Sovereignties (Germany) via BlockchainGov (3021.23.EMAJ, IT 1441-22, IT 1541-22, PT10859, SGA oc1-2024-TES-01-01, 2024-LAB2-007-01, 524205, 2022-23, PS00334379, ES/S012435/1, PT10937)
  • Decentralization Research Centre (Canada) (3021.23.EMAJ, IT 1441-22, IT 1541-22, PT10859, SGA oc1-2024-TES-01-01, 2024-LAB2-007-01, 524205, 2022-23, PS00334379, ES/S012435/1, PT10937)
  • The Learned Society of Wales (LSW) (3021.23.EMAJ, IT 1441-22, IT 1541-22, PT10859, SGA oc1-2024-TES-01-01, 2024-LAB2-007-01, 524205, 2022-23, PS00334379, ES/S012435/1, PT10937)
  • Fulbright Scholar-In-Residence (S-I-R) (3021.23.EMAJ, IT 1441-22, IT 1541-22, PT10859, SGA oc1-2024-TES-01-01, 2024-LAB2-007-01, 524205, 2022-23, PS00334379, ES/S012435/1, PT10937)
  • US–UK Fulbright Commission and IIE, US Department of State at the California State University (3021.23.EMAJ, IT 1441-22, IT 1541-22, PT10859, SGA oc1-2024-TES-01-01, 2024-LAB2-007-01, 524205, 2022-23, PS00334379, ES/S012435/1, PT10937)
  • Economic and Social Research Council (ESRC) (3021.23.EMAJ, IT 1441-22, IT 1541-22, PT10859, SGA oc1-2024-TES-01-01, 2024-LAB2-007-01, 524205, 2022-23, PS00334379, ES/S012435/1, PT10937)
  • WISERD Civil Society: Changing Perspectives on Civic Stratification/Repair (3021.23.EMAJ, IT 1441-22, IT 1541-22, PT10859, SGA oc1-2024-TES-01-01, 2024-LAB2-007-01, 524205, 2022-23, PS00334379, ES/S012435/1, PT10937)
  • Gipuzkoa Province Council, Human Rights & Democratic Culture: Gipuzkoa Algorithmic Territory: Socially Cohesive Digitally Sustainable? And Digital Inclusion & Generative AI International Summer School Scientific Direction, 15–16 July 2025, Donostia-St. Sebastian, Spain (3021.23.EMAJ, IT 1441-22, IT 1541-22, PT10859, SGA oc1-2024-TES-01-01, 2024-LAB2-007-01, 524205, 2022-23, PS00334379, ES/S012435/1, PT10937)
  • Astera Institute, Cosmik Data Cooperatives for Open Science (3021.23.EMAJ, IT 1441-22, IT 1541-22, PT10859, SGA oc1-2024-TES-01-01, 2024-LAB2-007-01, 524205, 2022-23, PS00334379, ES/S012435/1, PT10937)
Topics
  • Physical Sciences › Computer Science › Information Systems › Blockchain Technology Applications and Security
  • Social Sciences › Sociology and Political Science › Misinformation and Its Impacts
  • Social Sciences › Safety Research › Ethics and Social Impacts of AI
Keywords
generative AI detection, trustworthy AI, Web3, blockchain, decentralized autonomous organizations, data cooperatives, AI-generated misinformation, EU AI Act, Draghi report, federated learning, zero-knowledge proofs, digital watermarking, explainable AI, privacy-preserving machine learning, data sovereignty, AI governance, democratic regimes, content authenticity

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