As AI systems take on greater autonomy in decision-making, the question of governance is moving to the center of enterprise strategy. In this keynote, Dr. Rumman Chowdhury examines the rising stakes of AI deployment - from bias and accountability to escalating regulatory pressure - and what it means for managing enterprise risk in an AI-driven world.

Drawing on her experience at the intersection of policy, technology, and global governance, Chowdhury will explore how organizations can build responsible AI frameworks that go beyond compliance to ensure transparency, fairness, and control. The session will also address the real-world challenges of operationalizing governance - where technical complexity, business incentives, and ethical considerations often collide.

Expect a clear, pragmatic perspective on how to govern AI at scale - while protecting the enterprise from unintended consequences and positioning it to lead in an increasingly regulated and scrutinized digital economy.