AI & Machine Learning
AI ML Governance
Governs models and AI systems in production — intended use, evaluation, monitoring, human oversight, documentation, and the decision to deploy or retire. Use this before deploying a model or AI feature, when defining evaluation criteria, when a model's behavior has drifted, when assessing AI risk or regulatory exposure, or when deciding whether an AI system is fit for a consequential decision.
- Publisher / source
- cbrock84/headcount (found on the CSV list)
- Upstream record
- cbrock84/headcount
- Version
- Version 2
- Published
- Publication review
- Approved for publication · recorded passed scan 2026-11-03
- Content fingerprint
5b4fd8d9b2cd67c04331bb726e8e33cdf47e0ed62a61a1fac855b6959efad40a