AI Impact Assessment Policy Template
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)
What This Policy Covers
Required Sections
A compliant AI Impact Assessment Policy for ISO 42001 must include the following8 sections. Each section addresses a specific control requirement that auditors will review.
Purpose and Scope
Policy objectives and AI systems subject to impact assessment.
Impact Assessment Triggers
Criteria for when assessments are required: new systems, significant changes, periodic reviews.
Assessment Scope and Dimensions
Human rights, safety, fairness, environmental, and societal impact categories.
Stakeholder Consultation
Identification and engagement of affected parties and domain experts.
Assessment Methodology
Step-by-step assessment process, scoring criteria, and documentation standards.
Findings Review and Approval
Governance review board, approval thresholds, and escalation procedures.
Remediation and Mitigation Planning
Action plans for addressing identified negative impacts.
Reassessment and Continuous Monitoring
Periodic reassessment schedule and change-triggered reviews.
Generate a Customized Version
This template shows the required structure. PoliWriter generates a fully customized AI Impact Assessment Policy that references your actual cloud providers, identity systems, tools, and team practices — ready for auditor review.
Policy Details
Other ISO 42001 Templates
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)
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)
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)
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)