Program I
Responsible AI
Accountability · deployment · oversight · emerging technologies
Overview
AI governance as institutional design.
How institutions govern AI and adjacent emerging technologies as systems become more autonomous, adaptive, and embedded in consequential decisions. Our work examines accountability, organizational design, deployment governance, and the institutional capabilities required when static rules are no longer enough.
Our Responsible AI work starts from a structural premise: the systems built for predictable, point-in-time AI are not enough for agentic systems and continuous-oversight regimes. The gap is not regulatory but institutional. Closing it means reorganizing model risk, compliance, technology, and legal functions into integrated governance that runs on a different clock than the traditional examination cycle.
Research approach
How institutions govern AI and adjacent emerging technologies as systems become more autonomous, adaptive, and embedded in consequential decisions. Our work examines accountability, organizational design, deployment governance, and the institutional capabilities required when static rules are no longer enough.
Our Responsible AI work starts from a structural premise: the systems built for predictable, point-in-time AI are not enough for agentic systems and continuous-oversight regimes. The gap is not regulatory but institutional. Closing it means reorganizing model risk, compliance, technology, and legal functions into integrated governance that runs on a different clock than the traditional examination cycle.
Image credits
- Responsible AI
- Human/robot teaming. Image: S. Bagchi/NIST.