AI Risk Register

The AI Risk Register is a voluntary governance tool used to systematically identify, evaluate, and monitor the risks associated with the development and deployment of artificial intelligence systems. Aligned with the ISO/IEC 42001 standard for AI management systems, this register supports organizations in operationalizing risk awareness, accountability, and transparency across the AI lifecycle.

It is applicable across industries and regions and is designed to be flexible for AI systems of varying complexity and criticality.

What is the AI Risk Register?

The AI Risk Register is a structured document or platform used to track and manage AI-related risks. It aligns with the risk management principles defined in ISO/IEC 42001, enabling organizations to implement and maintain effective AI governance processes. While it is voluntary, it plays a central role in promoting trustworthy and safe AI.

Organizations using an AI Risk Register are expected to:

  1. Identify potential risks across the AI lifecycle, including risks related to safety, fairness, accountability, explainability, security, and data quality.
  2. Assign each risk a category, likelihood, and severity rating.
  3. Define mitigation actions and assign responsibilities for risk ownership.
  4. Track the status of mitigation efforts and update risk assessments based on system changes or new findings.
  5. Integrate risk management into the design and operational processes of AI systems, including retraining, monitoring, and deployment.
  6. Document risk evolution over time and maintain audit trails for oversight and compliance reviews.

The register is typically reviewed regularly and integrated into broader AI governance and compliance strategies, including risk committees or external audits.

Why is the AI Risk Register Important?

  1. Proactive Risk Management
    By formally capturing risks early in the development process, organizations can prevent harm and reduce exposure to legal, ethical, and reputational issues.

  2. Alignment with ISO/IEC 42001
    The register supports implementation of ISO/IEC 42001, which outlines requirements for AI management systems, making it a useful resource for organizations seeking certification or alignment with international best practices.

  3. Cross-Functional Accountability
    It creates clear accountability for risk ownership, ensuring that technical, legal, compliance, and business teams all participate in risk identification and response.

  4. Transparency and Auditability
    Maintaining an AI Risk Register provides transparency for regulators, customers, and internal stakeholders. It also ensures traceability and readiness for third-party audits or impact assessments.

  5. Continuous Monitoring and Improvement
    As AI systems evolve, so do their risks. The register supports continuous risk tracking and system adaptation, enhancing the long-term robustness of AI deployments.

By complying with the AI Risk Register, organizations strengthen trust in their AI systems, align with legal and ethical standards, and demonstrate a commitment to responsible and transparent AI governance.