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Event Q&A
AI Governance Must Shift From Static Reviews to Continuous Assurance
As organizations scale AI adoption and deploy increasingly autonomous systems, traditional governance approaches are coming under pressure. In this Q&A, Satyaki Ghosh Dastidar explores how organizations can apply proportionate governance, avoid common mistakes with generative AI oversight, and move toward continuous, evidence-based assurance models that balance innovation with risk management.
Nov 05, 2026
Satyaki Ghosh Dastidar, VP – Applied Responsible AI, First Citizens Bank
Tags:
AI and Technology (including Fintech)
The views and opinions expressed in this content are those of the thought leader as an individual and are not attributed to CeFPro or any other organization
- Explores how organizations should determine when AI requires lightweight versus formal governance.
- Examines strategies for scaling AI governance without creating bottlenecks.
- Highlights common mistakes when applying traditional model risk frameworks to generative AI.
- Discusses the shift from periodic reviews to continuous AI assurance and monitoring.
- Explores how governance must evolve as AI agents become more autonomous.
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