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AI Decision Register

An AI Decision Register is a centralized record of important governance, risk, and operational decisions made throughout the lifecycle of an AI system.

AI Decision Register

Overview

As organizations deploy more artificial intelligence systems, documenting important AI decisions becomes increasingly valuable.

An AI Decision Register is a centralized record of significant decisions made throughout the lifecycle of an AI system.

The register helps organizations document decisions such as:

  • Model approvals
  • Risk acceptance
  • Governance reviews
  • Policy exceptions
  • Deployment approvals
  • Major model updates
  • Retirement decisions

A helpful way to think about an AI decision register is the minutes from an important business meeting.

The discussion matters.

But the documented decisions become the official record.

Organizations use AI decision registers for the same reason.

They improve accountability, transparency, and governance while making future reviews and audits much easier.

Decision registers support AI Governance, AI Accountability, and AI Audit.

Why It Matters

Documenting important AI decisions improves transparency, supports audits, strengthens accountability, and helps organizations demonstrate responsible AI governance.

Real-World Example

An organization’s governance committee records every approval, policy exception, and high-risk deployment decision in its AI decision register for future audits and regulatory reviews.

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