AI Transparency & Explainability Policy Template
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)
What This Policy Covers
Required Sections
A compliant AI Transparency & Explainability Policy for ISO 42001 must include the following7 sections. Each section addresses a specific control requirement that auditors will review.
Purpose and Scope
Policy objectives and AI systems requiring transparency measures.
AI System Disclosure Requirements
When and how to disclose AI system use to users and affected parties.
Explainability Standards by Risk Level
Tiered explainability requirements based on AI system risk classification.
Model Documentation
Model cards, decision logic documentation, and technical specifications.
End-User Communication
Plain-language explanations, contestability mechanisms, and feedback channels.
Decision Logging and Audit Trails
Logging requirements for AI-driven decisions and retention periods.
Public Transparency Reporting
Annual transparency reports, metrics, and public disclosure obligations.
Generate a Customized Version
This template shows the required structure. PoliWriter generates a fully customized AI Transparency & Explainability 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)
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)
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)