Board & Audit Committee
Make AI oversight evidence-based
What this role is up against
Boards do not need to operate AI systems. They do need enough evidence to determine whether management has built a credible system of accountability around them.
Useful AI oversight should answer a small set of consequential questions: Which AI systems matter most? Who owns the associated risks and outcomes? What operating boundaries have been approved? What evidence demonstrates that controls are working? What triggers escalation? What changes when a system, model, vendor, or risk profile changes?
Where TTIC connects
TTIC connects technical and clinical governance to board-visible accountability.
What success looks like
The goal is not another dashboard full of activity metrics. It is a defensible evidence chain that allows the board and audit committee to distinguish governed capability from unmanaged exposure and to act before a failure, regulator, insurer, or other external party forces the issue.
Read the full Chair's Letter
Building the Institutional Infrastructure for Trustworthy AI | the complete letter from TTIC's Founder & Chair.
Standards and Adoption | evidence of where TTIC's accredited standards are cited and used.
Origin Story | where TTIC came from and why it was built this way.
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- Published by
- Trustworthy Technology & Innovation Consortium (TTIC)
- Author
- By Sherri Douville, Founder & Chair, Trustworthy Technology & Innovation Consortium (TTIC)
- Originally published
- Last updated
Cite this resource
Sherri Douville. “Board & Audit Committee.” Trustworthy Technology & Innovation Consortium (TTIC), 2026. https://trustworthytechnologyinnovation.com/chairs-letter/board-audit-committee/.