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AI governance glossary

What is AI governance?

Definition

AI governance is the set of policies, roles, processes and tools an organization uses to make sure AI is used safely, legally, cost-effectively and in ways that create value. For most organizations, the largest and fastest-growing part is governing how employees use generative AI tools.

The three questions

Effective AI governance answers: what AI is being used and by whom; is it being used safely and within policy; and is it delivering value for what it costs.

From documents to data

Governance programs often start with policies and committees. They become effective when backed by data from monitoring: an inventory, risk events, adoption and spend.

Frameworks

ISO/IEC 42001, the NIST AI RMF and the EU AI Act all expect organizations to know which AI systems they use and to monitor them.

AI governance: FAQ

Who owns AI governance?

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Usually a cross-functional group: the CIO or CDO for adoption and value, the CISO for security, legal and privacy for compliance, and finance for cost. Shared data keeps them aligned.

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