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

ISO/IEC 42001:2023 A.5.5: Assessing societal impacts of AI systems

Evaluate and record the possible effects of the organization's AI systems on society over their life cycle.

Maintained by Gerard BlokdykControl text last updated

What else in your programme already covers this

This control maps to 8 controls across 4 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 · 5 controls

  • EUAI-Art.27 Fundamental rights impact assessment for high-risk AI systems
  • EUAI-Art.5 Prohibited AI practices
  • EUAI-Art.51 Classification of general-purpose AI models as general-purpose AI models with systemic risk
  • EUAI-Art.55 Obligations of providers of GPAI models with systemic risk
  • EUAI-Art.9 Risk management system

Australia AI Ethics Framework · 1 control

  • AUAIE-1 Human, societal and environmental wellbeing

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

  • AIRMF-MP-3.2 Potential costs, including non-monetary costs, which result from expected or realized AI errors or system functionality and trustworthiness are examined and documented, as connected to organizational risk tolerance

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.5.5 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 8 it maps to, and the evidence behind each claim, over MCP and REST.

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