Is AI Mission Critical?
A use-by-use analysis of oversight duties, with a case comparison, worksheet, and model board resolution.
Research papers, positions, submissions, essays, and reference tools on the decisions and accountability of AI oversight.
Core ideas state the Center’s governing positions. Papers develop the analysis and supporting evidence. Guides and tools help institutions apply the work.
A use-by-use analysis of oversight duties, with a case comparison, worksheet, and model board resolution.
Search laws, cases, regulations, and standards by industry, jurisdiction, and role, with source summaries and the Center's oversight interpretation.
The decisions that establish what an enterprise governs, who answers, and what record the program must produce.
Why a shared public need requires specific responsibilities across institutions and named accountability within each.
Recommendations and proposed additions to the AI Risk Evaluation Supplement, Version 5.0.
The Center’s comment on the August 3 community discussion draft, with a separate summary sheet.
The human judgment an institution must retain to make an informed decision about AI.
The oversight implications of granting systems authority to act, and the limits of a model-only view.
Decision rights and accountability for institutions that build AI and those that put it to work.
The anatomy of an oversight program and the responsibility of the committee that governs it.
The Center’s June 2026 analysis of regulatory expectations and enterprise oversight.
The Center’s earlier analysis of oversight duties. Read with the September research paper, Is AI Mission Critical?
The Center’s analysis of the duties of care and loyalty in the AI environment.
Risk tolerance as a decision point, and escalation that carries opportunity as well as threat.
An oversight program as the institutional capability to take informed risks.
How a defined oversight program supports faster, informed decisions.
The June issue on recording the basis for decisions made while regulatory deadlines are changing.
A single enterprise-wide label for AI leaves the board’s most important distinctions unresolved.
A shared AI environment needs specific responsibilities and warnings that reach someone with authority to act.
An accountable person needs the knowledge and authority to question an AI-assisted recommendation.
Can the organization demonstrate, in evidence, that it made an informed decision about AI risk?
An early Center essay on oversight duties and AI. The September research paper develops the analysis use by use.
Why forming a committee leaves the substance of its oversight still to be defined.
The distance between the pace of AI adoption and the capacity to make accountable oversight decisions.
A RACI for decision rights and accountability across AI oversight.
Appendix A of Is AI Mission Critical? The evidence to record for each AI use.
Appendix B of Is AI Mission Critical? Illustrative language for recording oversight decisions.
A reference for examining the institution’s oversight capability and the evidence supporting it.
Partner guideDeveloped with the Private Directors Association.
Partner guideDeveloped with the DCRO Institute.
Collaborative paperSecuring Communications Infrastructure as the Foundation of an AI-Powered Nation. A paper by Brian Allen and Mike Regan, published with TIA.
A short briefing on a consequential oversight decision.