AI Data Governance Policy Template

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)

What This Policy Covers

Purpose and Scope-Policy objectives and data governance program for AI systems.

Data Acquisition and Provenance-Approved data sources, licensing, consent, and provenance documentation.

Data Quality Requirements-Accuracy, completeness, timeliness, and representativeness standards.

Bias Detection and Mitigation in Data-Statistical bias analysis, demographic representativeness, and remediation.

Data Labeling and Annotation Standards-Labeling guidelines, inter-annotator agreement, and quality checks.

Data Lineage and Traceability-End-to-end tracking from source through preprocessing to model training.

Privacy and Consent Management-Data subject rights, consent for AI training, and anonymization requirements.

Data Retention and Disposal-Retention schedules for training data, model artifacts, and evaluation datasets.

Required Sections

A compliant AI Data Governance 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 data governance program for AI systems.

Data Acquisition and Provenance

Approved data sources, licensing, consent, and provenance documentation.

Data Quality Requirements

Accuracy, completeness, timeliness, and representativeness standards.

Bias Detection and Mitigation in Data

Statistical bias analysis, demographic representativeness, and remediation.

Data Labeling and Annotation Standards

Labeling guidelines, inter-annotator agreement, and quality checks.

Data Lineage and Traceability

End-to-end tracking from source through preprocessing to model training.

Privacy and Consent Management

Data subject rights, consent for AI training, and anonymization requirements.

Data Retention and Disposal

Retention schedules for training data, model artifacts, and evaluation datasets.

Generate a Customized Version

This template shows the required structure. PoliWriter generates a fully customized AI Data Governance Policy that references your actual cloud providers, identity systems, tools, and team practices — ready for auditor review.

Generate Customized AI Data Governance Policy

Policy Details

Framework

ISO 42001

Other ISO 42001 Templates

AI Management System Policy

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)

AI Risk Management Policy

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)

AI Impact Assessment Policy

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)

AI Transparency & Explainability Policy

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)

Human Oversight of AI Systems Policy

Defines requirements for human oversight, intervention capabilities, and accountability structures for AI system operations. (ISO/IEC 42001: Annex A — A.7 Human Oversight)

AI Monitoring & Evaluation Policy

Defines requirements for continuous monitoring, performance evaluation, and periodic auditing of AI systems in production. (ISO/IEC 42001: Clause 9 — Performance Evaluation)

AI Incident Management Policy

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)

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