AI Regulation and Blockchain: Bridging Ethics and Governance - Insights from INATBA’s Latest Paper

As Artificial Intelligence (AI) continues to evolve, it brings unprecedented opportunities alongside critical challenges. Ensuring AI aligns with ethical principles, human rights, and legal standards requires robust regulatory frameworks. 

INATBA’s AI & Blockchain Convergence Task Force’s latest report, “AI Regulation and Blockchain: Bridging Ethics and Governance,” dives into this pressing issue. By analyzing regulatory frameworks across regions—including the EU, the U.S., Brazil, and China—the report explores similarities and differences in approaches to AI governance. It also uncovers how blockchain technology can play a pivotal role in supporting compliance, accountability, and transparency for AI systems. Recent cases of AI misuse, such as AI-powered surveillance and human rights violations, emphasize the need for globally enforceable ethical standards.

The report highlights the following insights:

• Varied Regulatory Approaches: Regions like the EU and Brazil emphasize binding, risk-based frameworks, while the U.S. and South Africa take more flexible, advisory stances.
• Blockchain as a Trust Enabler: Blockchain enhances transparency and accountability in AI through traceable data provenance and immutable records.
• Proactive Compliance: Smart contracts on blockchain can autonomously enforce AI regulatory standards, particularly for high-risk applications.
• Ethical Imperatives: Cases of AI misuse, such as surveillance or rights violations, stress the urgent need for globally enforced ethical frameworks.
• Fostering Collaboration: Blockchain facilitates secure, cross-border collaboration on AI models and datasets through tokenized intellectual property management.

While harmonizing AI regulations across jurisdictions is challenging, emerging global principles—such as those proposed by the United Nations and OECD—signal a growing consensus on responsible AI practices. Blockchain technology can bridge gaps, offering a foundation for compliance, transparency, and innovation in AI governance.

We would like to thank the author, Mariana de la Roche (de la Roche W. Consulting, thinkBLOCKtank, INATBA BoD), and the advisors and reviewers Amit Joshi (EUBOF), Fabio Budris (Gobierno de la Ciudad de Buenos Aires, INATBA GAB), Harris Niavis (Inlecom), Horst Treiblmaier (Modul University Vienna, INATBA AAB), Jolanda ter Maten (EUBOF), Mat Yarger (Demia), Nena Dokuzov (Government of Slovenia, INATBA GAB), Sharmin Nisar Chougule (University of Camerino & UNIDROIT, INATBA AAB), Tan Gürpinar (Quinnipiac University, INATBA AAB) for their insightful contributions.