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AI Glossary

Risk Register

A centralized document used to record, monitor, and manage identified risks.

Risk Register

Overview

Identifying risks is only the beginning.

Organizations also need a structured way to document and monitor them.

This is the purpose of a risk register.

A risk register is a centralized record that documents identified risks, their likelihood, potential impact, ownership, mitigation plans, and current status.

A helpful way to think about a risk register is a project task list.

Instead of tracking completed work, it tracks known risks and the actions being taken to manage them.

Within AI governance programs, a risk register helps organizations maintain visibility into AI-related risks across multiple systems and projects.

It also supports communication between management, auditors, governance teams, and technical staff.

As AI adoption grows, maintaining an accurate risk register helps organizations demonstrate accountability and improve oversight.

Why It Matters

A risk register provides a structured way to monitor and manage AI risks over time.

Real-World Example

An organization maintains a register documenting every AI model’s known risks, mitigation plans, responsible owners, and review dates.

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