Implementing ISO/IEC 42001 Clause 6: Risk Management for Artificial Intelligence

Clause 6 of ISO/IEC 42001 specifies the planning requirements for an Artificial Intelligence Management System (AIMS). It mandates that organizations systematically identify, evaluate, and address risks and opportunities associated with artificial intelligence systems throughout their operational lifecycle.

The Core Mandate of Clause 6

Unlike generic IT security standards, ISO/IEC 42001 Clause 6 requires organizations to assess risks unique to AI, including model drift, non-deterministic behaviors, algorithmic bias, data quality limitations, and societal impact.

Clause 6 is divided into two primary requirements:

• Clause 6.1 (Actions to Address Risks and Opportunities): Establishing systematic methodologies for identifying and assessing AI system risks, coupled with an AI risk treatment plan.
• Clause 6.2 (AI Objectives and Planning to Achieve Them): Setting measurable, policy-aligned objectives across technical performance, compliance, and ethical safety baselines.

Step-by-Step Implementation Framework

To implement an audit-ready Clause 6 risk management process, engineering and governance teams must execute a four-stage workflow:

1. Context and Risk Criteria Definition

Establish organizational risk acceptance criteria. Define explicit thresholds for acceptable bias variance, hallucination tolerance, system availability, and data provenance requirements. Ensure alignment with the organization's broader enterprise risk management (ERM) policies.

2. AI Risk Identification and Impact Profiling

Catalog every active and proposed AI system in a centralized registry. For each system, evaluate:

• Intended purpose and foreseeable misuse;
• Technical complexity and reliance on external foundation models;
• Data ingestion dependencies and privacy constraints;
• Potential impacts on individuals, operations, and regulatory standing.

3. Formal AI Risk Treatment Plan

For identified risks exceeding acceptable thresholds, select controls from ISO/IEC 42001 Annex A. Document specific mitigation controls, assign ownership to designated technical leads, and establish verification timelines.

4. Continuous Evidence Generation

Risk planning cannot remain a static annual document. Clause 6 requires ongoing evaluation. Integrate automated monitoring tools that track model performance metrics, dataset drift, and trigger automatic re-assessments when system parameters change.

Audit Evidence Requirements

When external auditors examine Clause 6 compliance, they require tangible proof:

• Documented risk assessment methodologies tailored specifically to artificial intelligence;
• Timestamped risk registers linking individual AI models to mitigating technical controls;
• Records demonstrating executive review and sign-off on residual AI risks;
• Formal Statement of Applicability (SoA) justifying included and excluded Annex A controls.

Embedding structured Clause 6 workflows directly into software delivery lifecycles ensures that AI systems maintain their certification integrity as models evolve.