The Board’s AI Risk Moment: Who Is Accountable?

Artificial intelligence has moved from experimentation to enterprise infrastructure, and boards are accountable for how it is governed. Federal and state AI rules are evolving quickly, with increasing scrutiny from regulators, attorneys general, insurers, and plaintiffs. Directors face a fragmented landscape that touches risk oversight, disclosures, controls, and liability, often before management has a fully formed governance model in place.

This virtual session brings together legal, insurance, and governance perspectives to clarify what matters now. The discussion will focus on how boards should oversee AI use today, how emerging frameworks such as AIUC-1 can support consistent governance, and what directors should be asking management as rules, enforcement signals, and expectations continue to shift.

• The current federal and state AI regulatory environment and why it remains fluid
• What AIUC-1 means for enterprise governance, controls, and auditability
• Board oversight of AI risk, including liability, disclosures, and insurance implications
• Practical questions directors should be asking management in 2026

Thank you to our partners.