Governance That Enables, Not Strangles, AI
Length: 1 hour
Purpose: Boards need governance that manages risk without stifling innovation. This session offers practical guardrails.
Overview:
Explains common governance pitfalls that slow progress.
Shows how to design oversight that balances accountability and agility.
Provides examples of pragmatic policies for model risk, data ethics, and change control.
Equips boards to guide management toward scalable, responsible AI practices.
Key Takeaways:
A balanced governance model that supports both speed and safety.
Clarity on board roles vs. management roles in oversight.
A template for embedding governance into day-to-day execution.