Building Trust in the Age of AI: INATBA’s Report on Blockchain as an Enabler of Trusted AI - INATBA
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09 Jun Building Trust in the Age of AI: INATBA’s Report on Blockchain as an Enabler of Trusted AI

Posted at 11:32h in News, Reports by

As Artificial Intelligence (AI) continues to shape industries from healthcare to finance, concerns around trust, transparency, and accountability are taking center stage. The rapid growth of AI capabilities, paired with the complexity of its decision-making processes, has prompted calls for clearer governance frameworks, particularly in light of regulations such as the EU AI Act.

To help navigate this evolving landscape, INATBA’s AI & Blockchain Convergence Task Force has released a new report: “Blockchain as an Enabler of Trusted AI.” The report explores how blockchain technologies can support the development of AI systems that are not only powerful and efficient, but also fair, transparent, and aligned with human values.

Main Takeaways from the Report

  • Ethical Foundations and Real-World Hurdles
     The report reaffirms the importance of fairness, accountability, and transparency as essential principles in the design and deployment of AI. Yet it also highlights the practical challenges of putting these ideals into action, from biased datasets and opaque algorithms to unclear lines of responsibility when things go wrong.
  • Blockchain as a Trust Layer
     Blockchain brings unique strengths to the table. Its decentralization supports more distributed governance. Its immutability ensures reliable audit trails. And its transparency can make both data and model logic more accessible for review and oversight. Together, these features offer a foundation for building AI systems that can earn and sustain trust.
  • Web3 and Participatory Governance
    Looking ahead, the report also explores how the broader Web3 ecosystem, including Decentralized Autonomous Organizations (DAOs), can support more participatory approaches to AI governance. By allowing diverse stakeholders to contribute to decisions about data usage and ethical standards, DAOs have the potential to foster greater accountability and inclusion.
  • Aligning with ESG Goals
    The report also outlines how the convergence of AI and blockchain can advance environmental, social, and governance (ESG) priorities. Smart contracts can automate compliance, tokenization can encourage sustainable behaviors, and decentralized infrastructure can strengthen transparency and accountability in ESG reporting.

While blockchain offers valuable benefits, the report also highlights key limitations, including privacy challenges like the “right to be forgotten,” scalability issues, and the environmental impact of some consensus mechanisms. It emphasizes that responsible adoption depends on thoughtful, context-specific integration.

Ultimately, building trustworthy AI is not just a technical challenge. It requires clear principles, adaptable governance, and technologies that support transparency and accountability at scale. When thoughtfully combined, AI and blockchain can reinforce each other and help lay the foundation for more ethical, resilient, and future-ready digital economies.

We extend our sincere thanks to the authors of the report: Mariana de la Roche W. (INATBA AI & Blockchain Convergences Task Force Co-Chair, BlackVogel), Mat Yarger (Demia), Prof. Dr. Ingrid Vasiliu-Feltes (Institute for Science, Entrepreneurship and Investments), and Tan Gürpinar (Quinnipiac University).
We also gratefully acknowledge the contributions of our reviewers: Antonio Lanotte (EU Blockchain Oservatory and Forum), Fabio Budris (INATBA AI & Blockchain Convergences Task Force Co-Chair, BlackVogel), Horst Treiblmaier (INATBA Academic Advisory Body, Modul University Vienna), Jim Mason (EU Blockchain Oservatory and Forum), Kalpana Tyagi (INATBA Academic Advisory Body, Maastricht University), Katarina Krüger (INATBA Academic Advisory Body, HTW Berlin), Nina Siedler (thinkBLOCKtank, EU Blockchain Observatory and Forum, siedler legal), Paolo Giudici (INATBA Academic Advisory Body, Università di Pavia), Sharmin Chougule (INATBA Academic Advisory Body, University of Camerino & UNIDROIT), and Xiaochen Zhang (AI 2030).

If you are interested in other initiatives from our AI & Blockchain Convergence Task Force, visit https://inatba.org/ai-blockchain-convergences-task-force/

We encourage everyone interested in the topic to download the full report by filling out the form below.

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About INATBA

Launched in 2019 by the European Commission, INATBA – International Association for Trusted Blockchain Applications is a highly influential Association in promoting Blockchain and DLT adoption in Europe and globally. INATBA is mainly known for its credibility with regulatory authorities and policymakers and is appraised for its contributions to Markets in Crypto Asset Regulation (MICA), Transfer of Funds Regulation (TFOR), electronic Identification, Authentication and Trust Services (eIDAS), CHAISE Project, EU Pact for Skills, Academic & Governmental Advisory Bodies, and its passionate diverse global community of CEOs, CTOs, Heads of Policy, Public/Institutional Relations, Legal, Marketing & BizDev, Developers, Policymakers. To learn more, visit www.inatba.org.

Press Contact

pr@inatba.org

 

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