The Governance Gap
Boards are expected to govern AI — but most governance frameworks were written before large language models existed. The gap between what boards are asked to oversee and what they understand is a real risk.
Closing that gap doesn’t require every director to become a technical expert. It requires the right questions and a clear escalation path.
Questions Every Board Should Ask
- What AI systems are we currently running in production?
- Where does our liability exposure sit if a system produces a harmful output?
- How is our AI strategy connected to our data strategy?
These aren’t technical questions. They’re governance questions — and the answers reveal whether the organization has clarity or just activity.
What Good Oversight Looks Like
The most effective boards we’ve worked with treat AI like any other capital investment: with a clear owner, measurable outcomes, and a regular review cadence.
The technology is new. The governance principles are not.