Organizations implementing AI face unprecedented regulatory complexity as frameworks evolve rapidly across jurisdictions. The EU AI Act imposes significant penalties, while emerging regulations from RBI, SEBI, and other authorities create overlapping compliance requirements. Beyond legal risks, reputational damage from ethical failures can prove more devastating than regulatory penalties.

Governance frameworks demand interdisciplinary collaboration between legal, technical and business teams from project conception, not as bolt-on compliance measures. The challenge lies in making regulatory adherence a competitive differentiator rather than an operational burden.

In this session, the panelists will explore:

• Assessing legal and reputational risks across the AI value chain from development to deployment;
• Building governance through interdisciplinary teams that embed compliance into development workflows;
• Transforming regulatory requirements from operational blockers into strategic market advantages.