How to run AI governance at scale
Find answers to the AI governance questions your team faces. These guides give compliance officers, lawyers, GRC teams, and risk managers the steps to put each control in place.
Compare AI governance tools by control domain when you need software. Use the AI governance maturity model to assess your program.
Get the free AI Governance Control Tracker
Get the free Excel tracker for all 136 governance controls. Score maturity, assign owners, and set deadlines, with EU AI Act, NIST and ISO 42001 coverage on a dashboard.
- 136 controls in Excel
- Score maturity and assign owners
- Track deadlines and regulation coverage
Includes AI Governance Weekly every Thursday. Unsubscribe anytime.
How do we detect and mitigate algorithmic bias?
Test AI used in hiring, lending, and customer decisions. Keep audit trails that support your response to discrimination claims.
How do we handle AI-generated content and hallucinations?
Assign responsibility for inaccurate AI outputs used in contracts, reports, or customer communications. Set controls to prevent harm.
Is our AI red-teaming rigorous enough?
Set pass/fail criteria for testing high-risk AI before deployment. Cover toxicity, data leakage, jailbreaking, and misuse.
How do we govern AI agents that take autonomous actions?
Govern agents that browse websites, execute code, send messages, and use external services. Set controls for their autonomous actions.
What do we do when an AI system causes harm or fails?
Respond to AI failures through detection, containment, investigation, and regulatory notification. Use findings to prevent recurrence.
How do we govern AI models from preview release through retirement?
Govern models from preview evaluation through production approval and retirement. Define reassessment triggers throughout their working life.