AI Governance
Policies and frameworks for responsible AI development, deployment, and oversight.
Definition
AI governance encompasses the rules, processes, and oversight mechanisms organizations implement to ensure AI is used responsibly. This includes ethical guidelines, risk assessment frameworks, audit procedures, and accountability structures.
Effective governance balances innovation enablement with risk management, building trust with stakeholders.
Why It Matters
Regulatory requirements for AI governance are expanding rapidly. Organizations building governance frameworks now will be prepared for compliance while avoiding reputational risks from irresponsible AI use.
Governance also helps organizations scale AI adoption safely across departments.
Examples in Practice
A company establishes an AI ethics board that reviews high-risk AI applications before deployment.
Governance policies require human review of any AI-generated content before external publication.
An audit framework monitors AI systems for bias, drift, and performance degradation on a quarterly basis.