What is AI Governance?
AI governance is the set of policies, frameworks, and organizational practices that guide how AI systems are developed, deployed, and monitored within an organization or society. It covers risk management, compliance, accountability, transparency, and ethical use of AI.
Why It Matters
As AI becomes embedded in critical decisions — hiring, lending, healthcare, law enforcement — the need for governance grows urgent. The EU AI Act, the US Executive Order on AI, and similar regulations worldwide are making AI governance legally mandatory. Organizations without governance frameworks face regulatory penalties, reputational damage, and real harm from unchecked AI systems.
How It Works
Organizational governance:
- AI ethics board — cross-functional team overseeing AI decisions
- Use case approval — formal process for evaluating new AI applications
- Risk assessment — categorize AI systems by risk level (low/medium/high/unacceptable)
- Model documentation — model cards, datasheets, impact assessments
- Monitoring — ongoing performance tracking, bias audits, drift detection
- Incident response — procedures for when AI systems cause harm
Regulatory frameworks: