ISO/IEC 42001:2023
Annex A AIMS controls - A.6 AI system life cycle

ISO/IEC 42001:2023 A.6.2.7: AI system technical documentation

Decide what technical documentation each relevant category of interested party (such as users, partners and supervisory authorities) needs, and provide it in a suitable form.

Maintained by Gerard BlokdykControl text last updated

What else in your programme already covers this

This control maps to 14 controls across 7 other frameworks. If you already hold one of them, the evidence you collected for it is the starting point here rather than new work.

EU AI Act · 6 controls

  • AIRMF-MN-1.4 Negative residual risks, defined as the sum of all unmitigated risks, to both downstream acquirers of AI systems and end users are documented
  • AIRMF-MP-2.2 Information about the AI system's knowledge limits and how system output may be utilized and overseen by humans is documented
  • AIRMF-MS-2.9 The AI model is explained, validated, and documented, and AI system output is interpreted within its context as identified in the MAP function and to inform responsible use and governance

FedRAMP High · 1 control

  • SA-5 System Documentation

FedRAMP Moderate · 1 control

  • SA-5 System Documentation

ISO 27001:2022 · 1 control

  • 5.37 Documented operating procedures

ISO 27002:2022 · 1 control

  • 5.37 Documented operating procedures

Every mapping shown was judged rather than inferred from wording similarity, and the ones that failed review are published too. See the coverage reports and what was rejected.

Other controls in Annex A AIMS controls - A.6 AI system life cycle

You are reading one control. How much of ISO/IEC 42001:2023 have you already done?

ISO/IEC 42001:2023 A.6.2.7 is one control. If you already hold one of the frameworks below, a reviewed crosswalk already says how much of ISO/IEC 42001:2023 your existing evidence covers. Hold NIST AI Risk Management Framework (AI RMF 1.0) and 30 of 38 ISO/IEC 42001:2023 controls already carry evidence.

Each report names every control your existing framework evidences, every one it does not, the reasoning behind each claim, and the claims that were argued against and rejected. 0 were rejected on the NIST AI Risk Management Framework (AI RMF 1.0) pair alone.

Query this from an agent

The graph holds this control, the 14 it maps to, and the evidence behind each claim, over MCP and REST.