Chapter A · 8 pages · ~118 min
Model governance basics
Build a practical governance system for assigning ownership, documenting models, evaluating changes, monitoring outcomes, and responding to incidents.
What you will be able to do
- Explain model governance as an operating system for responsible decisions across an AI system's lifecycle
- Assign accountable owners and supporting roles without confusing participation with accountability
- Create useful model documentation that records purpose, limits, evidence, and approval status
- Connect evaluations, production monitoring, change control, and incident response into one feedback loop
- Apply a proportionate governance process and bridge it to regulation and human oversight