ISO/IEC 42001:2023
Annex A AIMS controls - A.5 Assessing impacts of AI systems

ISO/IEC 42001:2023 A.5.3: Documentation of AI system impact assessments

Record what each AI system impact assessment finds and retain those records for a set period.

Maintained by Gerard BlokdykControl text last updated

What else in your programme already covers this

This control maps to 12 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.

SOC 2 · 4 controls

  • SOC2-CC2.1 CC2.1 Relevant, quality information to support internal control (COSO principle 13)
  • SOC2-CC2.2 CC2.2 Internal communication of objectives and control responsibilities (COSO principle 14)
  • SOC2-CC3.2 CC3.2 Identifying and analysing risks to objectives (COSO principle 7)
  • SOC2-P6.2 P6.2 Record of authorised disclosures

EU AI Act · 3 controls

  • EUAI-Art.11 Technical documentation
  • EUAI-Art.27 Fundamental rights impact assessment for high-risk AI systems
  • EUAI-Art.6 Classification rules for high-risk AI systems

ASEAN Guide on AI Governance and Ethics · 1 control

ISO 27001:2022 · 1 control

  • 5.37 Documented operating procedures

ISO 27002:2022 · 1 control

  • 5.37 Documented operating procedures

NIST AI Risk Management Framework (AI RMF 1.0) · 1 control

  • AIRMF-GV-4.2 Organizational teams document the risks and potential impacts of the AI technology they design, develop, deploy, evaluate and use, and communicate about the impacts more broadly

NIST SP 800-53 Rev 5 · 1 control

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.5 Assessing impacts of AI systems

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

ISO/IEC 42001:2023 A.5.3 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.

If you hold NIST AI Risk Management Framework (AI RMF 1.0)78.9% covered · 8 gapsIf you hold EU AI Act57.9% covered · 16 gaps

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.

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The graph holds this control, the 12 it maps to, and the evidence behind each claim, over MCP and REST.

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