Australia National Framework for the Assurance of AI in Government (2024)
Principle 8: Accountability – Australia National Framework for the Assurance of AI in Government (2024)

Australia National Framework for the Assurance of AI in Government (2024) 8.4: 8.4 Avoid overreliance

Remain responsible for all outputs AI systems generate, flag and address incorrect outputs, and consider the level of reliance placed on AI and its risk and accountability challenges, since overreliance can lead to accepting incorrect or biased outputs and to business continuity risk.

Maintained by Gerard Blokdyk

What else in your programme already covers this

This control maps to 3 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.

NSW AI Operational Policy (2026) · 2 controls

  • 6.1.2 6.1.2 Ensure meaningful human oversight
  • 6.1.4 6.1.4 Critically assess AI outputs to verify quality and accuracy

Australia Guidance for AI Adoption (2025) · 1 control

  • 6.1.1 6.1.1 Maintain accountability, capability and oversight across the lifecycle

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 8: Accountability – Australia National Framework for the Assurance of AI in Government (2024)

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The graph holds this control, the 3 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