Australia National Framework for the Assurance of AI in Government (2024)
Principle 3: Fairness – Australia National Framework for the Assurance of AI in Government (2024)

Australia National Framework for the Assurance of AI in Government (2024) 3.3: 3.3 Ensure quality of data and design

Ensure high-quality data and algorithmic design, using practices such as audits of AI inputs and outputs for unfair bias, data quality statements and other data governance and management practices to understand and mitigate bias.

Maintained by Gerard Blokdyk

What else in your programme already covers this

This control maps to 2 controls across 2 other frameworks. If you already hold one of them, the evidence you collected for it is the starting point here rather than new work.

Australia Guidance for AI Adoption (2025) · 1 control

  • 5.4.2 5.4.2 Apply data and security controls per AI use case

ISO/IEC 42001:2023 · 1 control

  • A.7.4 Quality of data for AI systems

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 Principle 3: Fairness – Australia National Framework for the Assurance of AI in Government (2024)

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The graph holds this control, the 2 it maps to, and the evidence behind each claim, over MCP and REST.

MCP endpointAll Australia National Framework for the Assurance of AI in Government (2024) controls