Definition
AI governance helps organizations decide which AI systems are allowed, who owns them, how risk is assessed, how outputs are reviewed, and how incidents are handled.
How it works
Governance programs inventory AI systems, classify risk, define acceptable use, document models and vendors, monitor performance, and create escalation paths for failures.
Why it matters at work
As AI moves into customer, employee, and regulated workflows, unmanaged use creates privacy, bias, compliance, security, and reputational risk.
Workplace example
An HR team requires review before using AI in hiring, documents the use case, checks for bias, and keeps final decisions with accountable humans.
Frequently Asked Questions
Is AI governance only for regulated industries?
No. Regulated industries need stricter controls, but every organization using AI needs ownership, review, acceptable-use rules, and incident response.