Set out a documented way of keeping a record of where data used in AI systems come from and how they change, over the life of both the data and the system.
This control maps to 19 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.
AIRMF-MP-4.1 Approaches for mapping AI technology and legal risks of its components, including the use of third-party data or software, are in place, followed, and documented, as are risks of infringement of a third party's intellectual property or other rights
You are reading one control. How much of ISO/IEC 42001:2023 have you already done?
ISO/IEC 42001:2023 A.7.5 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.
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.