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Muhammad
Anwar Ul Haq
Senior Director, Data & Machine Learning
RBC Group
Muhammad is Senior Director of Machine Learning and Data at RBC, where he leads the Data & AI Trust team at RBC Brain. With over 12 years of cross-sector experience from private equity to fintech and AI/ML he combines deep technical expertise with a strong ethical lens. A Fulbright Scholar and member of the World Energy Council’s Future Energy Leaders Program, Muhammad is focused on building responsible AI frameworks that prioritize fairness, interpretability, and privacy, ensuring AI systems are trustworthy by design.
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20 November 2025 15:00 - 15:30
Agency paradox: Deploying autonomous AI in regulated environments.
Once the foundational agent stack is built, regulated industries like finance and healthcare confront the "Agency Paradox"; the very autonomy that makes agents powerful is incompatible with legal frameworks demanding predictability, auditability, and accountability. This creates a critical, un-insurable liability gap, as the emergent and unforeseeable behavior of agents shatters traditional legal models of liability. This talk argues for a new framework by learning from mature, high-stakes engineering disciplines. Drawing insights from industries like aviation and nuclear safety, I will present a concrete architecture for verifiable autonomy. This model moves beyond simple guardrails to prove compliance by design, using multiple layers that act as safeguards by design.