AI Risk Register

Assessment

Detailed Explanation

An AI Risk Register is a documented, maintained inventory of all identified AI-related risks within an organization, capturing each risk's description, likelihood, potential impact, current mitigation measures, assigned owner, and review status. Unlike a one-time risk assessment, the register is a living governance tool that is regularly reviewed, updated as new risks emerge, and used to track the effectiveness of mitigation actions over time. For organizations managing multiple AI systems, the register provides a consolidated view that enables pattern recognition across projects and prevents the same risks from being overlooked repeatedly. In COMPEL, the risk register is established during the Calibrate stage, maintained throughout the engagement lifecycle, and features prominently in the risk management practices of Module 2.1, Article 9 and Module 3.4.

Why It Matters

Understanding AI Risk Register is essential for organizations pursuing responsible AI transformation. In the context of enterprise AI governance, this concept directly impacts how organizations design, deploy, and oversee AI systems particularly within the Governance pillar. Without a clear grasp of AI Risk Register, organizations risk creating governance gaps that undermine trust, compliance, and long-term value realization. For AI leaders and practitioners, AI Risk Register provides the conceptual foundation needed to make informed decisions about AI strategy, risk management, and stakeholder engagement. As regulatory frameworks such as the EU AI Act and standards like ISO 42001 mature, proficiency in concepts like AI Risk Register becomes not merely advantageous but operationally necessary for any organization deploying AI at scale.

COMPEL-Specific Usage

Assessment concepts underpin the evidence-based approach of the COMPEL framework. The Calibrate stage uses assessment methodologies to establish baselines, while the Evaluate stage applies them to measure progress. COMPEL mandates that every governance decision be grounded in assessment data, not assumptions, ensuring transformation roadmaps address verified gaps. The concept of AI Risk Register is most directly applied during the Calibrate and Evaluate stages of the COMPEL operating cycle. Practitioners preparing for COMPEL certification will encounter AI Risk Register in coursework aligned with the Governance pillar, and should be prepared to demonstrate applied understanding during assessment activities.

Related Standards & Frameworks

ISO/IEC 42001:2023 Clause 9.1 (Monitoring and Measurement)
NIST AI RMF MEASURE function