How to Write an AI Policy for ISO 42001 (With Structure)

An ISO 42001 AI policy is a high-level foundational document mandated by ISO 42001 5.2 and Annex A.2 that articulates an organization's commitment to responsible, safe, and ethical artificial intelligence governance. Drafted and endorsed by top management, an effective policy establishes core governance principles, sets the baseline for AI objectives, and addresses impacts on individuals, groups, and society. To construct a fully compliant policy, organizations can follow a structured AI policy template covering scope, leadership commitment, risk management, data governance, operational controls, and continuous improvement.

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Understanding ISO 42001 Clause 5.2 Requirements

Under ISO/IEC 42001:2023 Clause 5 (Leadership), top management cannot delegate the core vision of responsible AI. Clause 5.2 specifically requires leadership to establish, implement, and maintain an official AI policy that fits the organizational context.

To satisfy Clause 5.2, your AI policy must:

• Align with organizational context: Reflect your company’s specific role in the AI ecosystem—whether you develop, deploy, or integrate AI systems.
• Provide a objective framework: Establish clear boundaries for setting and measuring AI objectives (Clause 6.2).
• Include core commitments: Expressly commit to satisfying applicable legal, regulatory, and contractual obligations, as well as committing to continuous improvement of the Artificial Intelligence Management System (AIMS).
• Be documented and communicated: Exist as an accessible documented information record, be understood internally across all levels, and be available to interested parties where appropriate.

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Integrating Annex A.2 Control Domains

While Clause 5.2 sets the core requirement for top management to mandate the policy, Annex A.2 (Policies Related to AI) provides the practical controls for managing AI policies across their operational lifecycle:

• A.2.1 AI Policy: Mandates that a operational policy regarding the design, development, deployment, or use of AI systems is aligned with the organization's strategic direction.
• A.2.2 Alignment with Other Organizational Policies: Ensures the AI policy does not exist in a silo. It must harmonize with existing cybersecurity, data protection, compliance, and corporate governance policies.
• A.2.3 Review of the AI Policy: Dictates that the policy must be reviewed at planned intervals or when significant changes occur—such as advancements in AI technology, regulatory shifts, or internal structural changes.

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Recommended ISO 42001 AI Policy Template Structure

When drafting your document, using a standardized AI policy template ensures you cover all audit requirements without overwhelming your team with unnecessary jargon. Below is a proven 7-part structure tailored to ISO 42001 compliance:

1. Purpose and Scope

Define why the policy exists and where it applies. Clearly outline whether the policy covers internal tools (e.g., generative AI assistants), customer-facing products, third-party vendor models, or custom-built algorithms.

2. Leadership Commitment and Core Ethical Principles

State top management’s dedication to trustworthy and ethical AI. Outline guiding principles such as:

• Fairness and Non-discrimination: Minimizing systemic bias in data and model outputs.
• Transparency and Explainability: Providing clarity on when AI is used and how decisions are made.
• Safety and Reliability: Ensuring systems operate robustly without causing unmitigated harm.

3. Risk and Impact Management Framework

Explicitly state the organization's commitment to assessing risks and impacts across three distinct tiers: individuals, groups, and society. Reference how risk assessments feed directly into operational decision-making (Clause 6.1).

4. Data Governance and Privacy Integration

Align the policy with Annex A.7 (Data for AI systems) and global privacy standards. Highlight expectations for data quality, data provenance, consent, and protection against data leakage in training pipelines.

5. System Lifecycle and Operational Controls

Specify lifecycle expectations aligned with Annex A.6. Require that AI initiatives undergo continuous verification, validation, monitoring, and regular re-evaluation throughout development and production deployment.

6. Roles, Accountabilities, and Escalation

Define who owns AI risks (Clause 5.3 & Annex A.3). Include escalation pathways for reporting unexpected AI behavior, algorithmic bias, or security breaches.

7. Policy Governance and Continuous Improvement

State the mandatory review cycle (Annex A.2.3) and commit to updating the policy based on audit results, performance evaluations (Clause 9), and continuous AIMS improvements (Clause 10).

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Best Practices for Writing Your AI Policy

1. Avoid Over-Technical Jargon: The policy must be understood by non-technical employees, auditors, and external stakeholders.
2. Tailor to Your Ecosystem Role: A company deploying off-the-shelf SaaS AI tools needs a very different policy focus than a company training proprietary Large Language Models (LLMs).
3. Involve Cross-Functional Leadership: Draft the policy in collaboration with legal, IT, cybersecurity, HR, and product teams to ensure buy-in across departments.

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Accelerate ISO 42001 Compliance with DoAIRight

Writing a compliant AI policy is the critical first step toward building a certified AIMS. DoAIRight helps organizations evaluate their current governance practices, streamline documentation, and assess audit readiness.

By leveraging DoAIRight’s workflow tools, you can map your policies directly to ISO 42001 clauses and Annex A controls. While ISO certification must be issued by an independent, accredited certification body (governed by ISO/IEC 42006), DoAIRight provides the guidance necessary to ensure your organization is fully prepared.

Ready to assess your governance readiness? Take the free DoAIRight Readiness Assessment today to benchmark your current AI policies against ISO 42001 standards.