Topic

AI Governance Committee

An AI governance committee is a formal organizational body responsible for overseeing the development, deployment, and management of artificial intelligence systems within an enterprise. This committee typically includes representatives from technology, legal, compliance, ethics, and business units who establish policies, set standards for responsible AI use, and monitor risks related to bias, transparency, and regulatory compliance. For enterprises, a well-structured AI governance committee is essential for managing liability, ensuring alignment with regulations like the EU AI Act, and building stakeholder trust in AI systems.

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ResearchUS2026-06-01

A Cancer Center's One-Year AI Governance Program Registered 26 Models and Offers a Replicable Blueprint for Healthcare Compliance Teams

A Comprehensive Cancer Center published a peer-reviewed account of a one-year Responsible AI governance program that registered and monitored 26 AI models, 2 ambient AI pilots, and 33 nomograms. The program established an AI Governance Committee, a formal model registry, a risk assessment tool, lifecycle management tooling, and an operating model called iLEAP with structured decision gates covering legal, ethics, adoption, and performance. The article, published in PMC, provides granular implementation detail that compliance teams at healthcare and other regulated organizations can adapt directly.

model registry healthcare AI lifecycle management AI governance committee risk assessment