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

ISO/IEC 42001:2023 A.6.1.3: Processes for responsible design and development of AI systems

Set down in writing the particular processes the organization follows to design and build the AI system responsibly.

Maintained by Gerard BlokdykControl text last updated

What else in your programme already covers this

This control maps to 14 controls across 11 other frameworks. If you already hold one of them, the evidence you collected for it is the starting point here rather than new work.

FedRAMP High · 2 controls

  • SA-15 Development Process, Standards, and Tools (SA-15)
  • SA-3 System Development Life Cycle

FedRAMP Moderate · 2 controls

  • SA-15 Development Process, Standards, and Tools (SA-15)
  • SA-3 System Development Life Cycle

NIST SP 800-53 Rev 5 · 2 controls

  • AIGE-OM-1 Project governance and problem statement definition
  • DS-6 Enforce security of workload throughout DevOps lifecycle

EU AI Act · 1 control

ISO 27001:2022 · 1 control

  • 8.25 Secure development life cycle

ISO 27002:2022 · 1 control

  • 8.25 Secure development life cycle
  • AIRMF-MP-1.6 System requirements are elicited from and understood by relevant AI actors, and design decisions take socio-technical implications into account to address AI risks
  • NIST-CSF-PR.PS-06 Secure software development practices are integrated, and their performance is monitored throughout the software development life cycle

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.6.1.3 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.

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