Defines the risk management framework for identifying, assessing, treating, and monitoring risks associated with AI systems throughout their lifecycle. (ISO/IEC 42001: Clause 6.1 — Actions to address risks and opportunities)
A compliant AI Risk Management Policy for ISO 42001 must include the following8 sections. Each section addresses a specific control requirement that auditors will review.
Policy objectives and AI risk management program overview.
Sources of AI risk: bias, drift, adversarial attacks, data quality, and societal impact.
AI-specific likelihood and impact scoring, risk matrices, and classification tiers.
Treatment options: avoid, mitigate, transfer, accept with controls for each AI risk category.
Thresholds for acceptable residual risk and escalation procedures.
Risk evaluation at design, development, testing, deployment, and retirement stages.
Ongoing risk monitoring, key risk indicators, and reporting cadence.
AI risk register structure, ownership, and update procedures.
This template shows the required structure. PoliWriter generates a fully customized AI Risk Management Policy that references your actual cloud providers, identity systems, tools, and team practices — ready for auditor review.
Establishes the overall AI management system (AIMS) including leadership commitment, AI principles, and organizational context for responsible AI development and deployment. (ISO/IEC 42001: Clause 5 — Leadership)
Governs the acquisition, preparation, quality, lineage, and lifecycle management of data used in AI systems to ensure trustworthy AI outcomes. (ISO/IEC 42001: Annex A — A.10 Data for AI Systems)
Establishes the process for conducting impact assessments on AI systems to evaluate potential effects on individuals, groups, and society. (ISO/IEC 42001: Annex A — A.3 AI System Impact Assessment)
Ensures AI systems operate transparently with appropriate levels of explainability for stakeholders, regulators, and affected individuals. (ISO/IEC 42001: Annex A — A.5 Transparency and Explainability)
Defines requirements for human oversight, intervention capabilities, and accountability structures for AI system operations. (ISO/IEC 42001: Annex A — A.7 Human Oversight)
Defines requirements for continuous monitoring, performance evaluation, and periodic auditing of AI systems in production. (ISO/IEC 42001: Clause 9 — Performance Evaluation)
Establishes procedures for detecting, reporting, investigating, and remediating incidents related to AI system failures, unintended behaviors, or harmful outcomes. (ISO/IEC 42001: Clause 10 — Improvement)