The International AI Accountability Forum (IAAF) marked a historic milestone with its inaugural session held on May 14, 2026, in New Delhi. Bringing together legal experts, policymakers, technology leaders, industry stakeholders, and AI governance advocates from across the globe, the forum focused on one of the most critical challenges of the AI era — Artificial Intelligence Accountability.
During the event, Rajeev Ranjan, Editor of TechBiz TV (a video platform by DT), held an exclusive interaction with Dr. Pavan Duggal, Advocate, Supreme Court of India, and the globally recognised Architect of Global AI Accountability. In this insightful discussion, Dr. Duggal shares his vision for building accountable AI ecosystems and the urgent need for global legal frameworks governing artificial intelligence.
During this insightful interaction, Dr. Pavan Duggal talks about:
Why AI Accountability is emerging as the most important issue in the AI ecosystem
The transition from Generative AI to the rapidly evolving Agentic AI era
Risks associated with autonomous AI agents acting beyond human instructions
Why AI regulation alone is not enough without strong accountability mechanisms
The urgent need for dedicated national and international AI accountability laws
Challenges in identifying responsibility across multiple AI ecosystem stakeholders
The launch and significance of the International AI Accountability Forum (IAAF)
The vision behind creating a Global AI Accountability Index
Establishment of the International AI Accountability Forum Charter and Governing Council
The role of governments, regulators, policymakers, corporations, and civil society in ensuring responsible AI adoption
Why AI auditing and transparency are essential for organizations deploying AI systems
Concerns around AI-driven misuse of data, privacy violations, and corporate risks
The need for an International AI Accountability Convention by 2030
How AI accountability will shape the future of artificial intelligence over the next two decades
Dr. Duggal also emphasizes that AI has already moved ahead of existing regulatory structures, making it imperative for governments, businesses, and citizens to proactively address accountability, transparency, privacy protection, and responsible AI governance before the challenges become unmanageable.
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