Safety, Alignment & Ethics

AI Governance

Policies, frameworks, and regulations that guide how AI is developed and used.

Definition

AI governance covers the institutional, legal, and organisational mechanisms used to oversee AI development and deployment. This includes regulation (like the EU AI Act), industry codes of practice, internal governance frameworks, audit requirements, and board-level accountability. As AI becomes more embedded in business-critical processes, governance — knowing who owns AI decisions, how they are audited, and what happens when they go wrong — becomes essential.

Related Terms

Responsible AI

A framework for developing and deploying AI in ways that are ethical and accountable.

Transparency

The ability to understand and explain how an AI reaches its outputs.

Model Card

A document that describes a model's capabilities, limitations, and intended uses.

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Disclaimer

This definition is provided for educational and informational purposes only. It represents a general explanation of a technical concept and does not constitute professional, technical, or investment advice. Artificial intelligence is a rapidly evolving field; terminology, techniques, and capabilities change frequently. Coaley Peak Ltd makes no warranty as to the accuracy, completeness, or currency of the information provided. Nothing on this page should be relied upon as the sole basis for commercial, technical, legal, or investment decisions without independent professional advice.

Document reference: ISO_webpage_knowledge-base_glossary_v1

Last modified: 29 March 2026

Knowledge Base·Safety, Alignment & Ethics·AI Governance