ISO/IEC 42001:2023 A.7.4: Quality of data for AI systems

What else in your programme already covers this

This control maps to 19 controls across 9 other frameworks. If you already hold one of them, the evidence you collected for it is the starting point here rather than new work.

NIST SP 800-53 Rev 5 · 4 controls

NIST800-CM-13 CM-13 Data Action Mapping
NIST800-PM-22 PM-22 Personally Identifiable Information Quality Management
NIST800-RA-8 RA-8 Privacy Impact Assessments
NIST800-SI-18 SI-18 Personally Identifiable Information Quality Operations

SOC 2 · 4 controls

SOC2-PI1.1 PI1.1 Quality information about processing objectives, data definitions and specifications
SOC2-PI1.2 PI1.2 Controls over system inputs
SOC2-PI1.3 PI1.3 Controls over system processing
SOC2-PI1.5 PI1.5 Controls over stored inputs, work in process and outputs

ASEAN Guide on AI Governance and Ethics · 2 controls

AIGE-OM-2 Data quality and representativeness
AIGE-P5 Privacy and Data Governance

Australia National Framework for the Assurance of AI in Government (2024) · 2 controls

3.3 3.3 Ensure quality of data and design
5.1 5.1 Use appropriate datasets

ISO 27001:2022 · 2 controls

5.12 Classification of information
8.13 Information backup

NIST AI Risk Management Framework (AI RMF 1.0) · 2 controls

AIRMF-MP-2.3 Scientific integrity and TEVV considerations are identified and documented, including those related to experimental design, data collection and selection, system trustworthiness, and construct validation
AIRMF-MS-2.11 Fairness and bias as identified in the MAP function is evaluated and results are documented

APPI · 1 control

APPI-A22 Accuracy and Deletion of Personal Data

Australia AI Ethics Framework · 1 control

AUAIE-4 Privacy protection and security

EU AI Act · 1 control

EUAI-Art.10 Data and data governance

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.

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

ISO/IEC 42001:2023 A.7.4 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 gaps If 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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