Data Governance

AI Governance Policy

An AI governance policy template addressing responsible AI use, bias mitigation, transparency, accountability, and alignment with the EU AI Act.

16-20 pages|Updated 2026-02-15|2 frameworks

What's Included

1. Purpose & Scope

Defines AI governance objectives and covered AI systems.

2. AI Risk Classification

Classifies AI systems by risk level per EU AI Act.

3. Responsible AI Principles

Establishes fairness, transparency, and accountability principles.

4. Bias & Fairness

Defines bias testing and mitigation requirements.

5. Transparency & Explainability

Specifies documentation and explainability requirements.

6. Human Oversight

Establishes human-in-the-loop requirements for high-risk AI.

7. AI Model Lifecycle

Defines governance across the AI model lifecycle.

8. Review & Compliance

Sets review frequency and regulatory alignment checks.

Frequently Asked Questions

What should a ai governance policy include?

A comprehensive ai governance policy should include purpose & scope, ai risk classification, responsible ai principles, bias & fairness, and more. This template covers 8 key sections aligned to EU AI Act, NIST AI RMF requirements.

Which frameworks require a data governance policy?

Major frameworks requiring data governance policies include EU AI Act, NIST AI RMF. This template maps directly to their control requirements, making it easier to demonstrate compliance across multiple standards.

How often should a ai governance policy be reviewed?

Best practice is to review your ai governance policy at least annually, or whenever significant changes occur in your organisation, technology environment, or regulatory landscape. Most frameworks including ISO 27001 and NIST CSF require documented policy review cycles.

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