He also emphasised that AI must be integrated into the legal curriculum through a thorough non-technical understanding of how these systems work, where they fail, and how they may shape legal reasoning, professional responsibility, and access to justice.

The dialogue focused on one of the most pressing questions in AI governance today: how can organizations translate commitments to safety, accountability, and human rights into real-world deployment decisions?

The consultation will contribute to ongoing international discussions on AI governance, including the 91��Ƶ Dialogue on AI Governance, the World Summit on the Information Society (WSIS), and the AI for Good Summit, ensuring that perspectives from India and the broader 91��Ƶ Majority help shape the future of AI governance.

The discussions featured contributions from distinguished participants, includ-ing Dr. Lalit Bhasin, Dr. Manoj Kumar, Ms. Alka Selot Asthana, and Mr. Atul G. Juvle, among others, focusing on key challenges and opportunities in shaping India’s AI regulatory landscape. Prof. Spriha Bhandari, Assistant Director at the Centre, participated as a panellist in Plenary Session II on “AI Governance Framework for Managing Algorithmic Transparency and Accountability Measures.” The session examined emerg-ing legal frameworks for generative AI systems, including issues of transpar-ency, market dynamics, and the growing role of legal technology in domains such as machine learning, blockchain, and decentralised finance. The session was moderated by Mr. Arpinder Singh and featured panellists from leading organi-sations across law, policy, and industry.
The engagement reflects the Centre’s continued contribution to interdisciplin-ary dialogue at the intersection of AI, law, and public policy.

In his intervention, Prof. Naren examined the adequacy of traditional tort law frameworks in addressing harms arising from Al-generated outputs, particularly in situations where such outputs are produced without explicit malicious human prompting. He emphasised the need to shift the legal inquiry towards identifying responsibility across the risk architecture, including developers, deployers, platforms, and users.
He further addressed the challenges posed by the ‘black box’ nature of AI systems in defamation disputes, highlighting the evidentiary asymmetry faced by affected parties. The discussion underscored the importance of recognising system -level responsibility and the need for legal frameworks to incorporate mechanisms for accountability, transparency, and redress in the context of generative AI.
The session contributed to advancing discourse on evolving legal approaches to accountability in Al-driven environments, particularly in relation to speech, reputation, and platform governance.

Prof. Naren was joined by co-panelists including Ms. Mahsa Alimardani (WITNESS), Mr. Rakesh Dubbudu (Factly), and Ms. Saja H. Mortada (Arab Fact-Checkers’ Network). The session contributed to ongoing conversations on addressing information integrity challenges in an increasingly Al-driven digital ecosystem.