Risk Register
AssessmentA risk register is a comprehensive, living document that catalogs all identified AI-related risks for a transformation program or portfolio, recording each risk's description, probability assessment, potential impact, current mitigation measures, residual risk level, assigned owner, review...
Detailed Explanation
A risk register is a comprehensive, living document that catalogs all identified AI-related risks for a transformation program or portfolio, recording each risk's description, probability assessment, potential impact, current mitigation measures, residual risk level, assigned owner, review frequency, and status. The register serves as the central governance tool for risk management, providing a consolidated view that enables pattern recognition, trend analysis, and portfolio-level risk assessment. For organizations managing multiple AI initiatives, the risk register prevents risks from falling through the cracks between teams and ensures that mitigation actions are tracked to completion. In COMPEL, the risk register is established during Calibrate, maintained throughout the COMPEL lifecycle, and reviewed during Evaluate, with portfolio-level risk aggregation covered in Module 4.1, Article 5.
Why It Matters
Understanding 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 Risk Register, organizations risk creating governance gaps that undermine trust, compliance, and long-term value realization. For AI leaders and practitioners, 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 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 Risk Register is most directly applied during the Calibrate and Evaluate stages of the COMPEL operating cycle. Practitioners preparing for COMPEL certification will encounter 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