Public-sector AI governance under DTA Policy 2.0 and the state frameworks.
The DTA Policy for Responsible Use of AI in Government (Version 2.0) is in force. ANAO audits have already flagged critical gaps. 74% of AI models at the ATO lacked completed data ethics assessments. Mandatory AI training for all APS staff is due by December 2026, and the AI Review Committee is now in place.
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DTA Policy 2.0 at a glance.
The Policy for Responsible Use of AI in Government (Version 2.0, effective 15 December 2025) mandates specific actions for all non-corporate Commonwealth entities. Each requirement maps to a documented deliverable.
Four pressures specific to the public sector.
Multi-layered compliance requirements, scrutiny from Parliament and citizens, and accountability obligations under administrative law create governance challenges that private-sector frameworks cannot address. Post-Robodebt, the public expectation has changed.
- 01In force
DTA Policy 2.0 sets the federal baseline.
The Digital Transformation Agency's Policy for Responsible Use of AI in Government (Version 2.0, effective 15 December 2025) requires designated accountable officials, published transparency statements, risk-based impact assessments using the DTA AI Impact Assessment Tool, and AI fundamentals training for all APS staff by December 2026. High-risk use cases involving security-relevant capabilities, critical infrastructure, or large-scale decision-making must be referred to the AI Review Committee.
Close the DTA Policy 2.0 gap - 02Active
Administrative law and the Robodebt legacy.
The Robodebt scheme ended in a class action settlement after the Royal Commission found its automated decision-making unlawful. Recommendation 17.1 calls for a consistent framework that keeps ADM systems fit for purpose, lawful and fair, and protects human and legal rights. Every automated decision an agency makes has to meet the administrative law tests of lawfulness, procedural fairness, rationality and explainability.
Build ADM controls aligned to admin law - 03Active
State frameworks vary by jurisdiction.
NSW mandates its AI Assessment Framework through the NSW AI Operational Policy under Circular DCS-2026-02, and since 30 September 2026 every new AI use case is registered and assessed on the AIAF Platform. Assessments test community benefit, fairness, privacy and security, transparency and accountability, with AI Review Committee referral for High or Critical use cases. Victoria's Administrative Guideline applies under the Public Administration Act 2004 and requires Charter of Human Rights compatibility. Queensland was the first jurisdiction nationally to mandate ISO 38507 for public-sector AI governance, with the FAIRA risk assessment framework. Multi-jurisdictional organisations need unified strategies that satisfy all of them.
Map state-specific obligations - 04Active
FOI, Privacy, and AI procurement clauses bite.
AI systems used in government decision-making are subject to FOI obligations and produce outputs that must be explained, documented, and disclosable. The Privacy and Other Legislation Amendment Bill 2024 requires entities to disclose the types of personal information used in automated decisions that have legal or similarly significant effect on individuals. The AI Model Clauses (Version 2.0, March 2025) require vendors to obtain prior written approval for AI use, ensure human oversight, provide transparency of outputs, and adopt ISO/IEC 42001 where risk assessments indicate heightened exposure. PSPF Directions 001/002 restrict certain products on security grounds.
Implement AI Model Clauses v2.0
State and territory frameworks.
The National Framework for AI Assurance in Government, endorsed by all Australian governments in June 2024, sits above each jurisdiction's specific obligations. Agencies operating across federal and state boundaries face overlapping requirements.
Tracks built for federal, state, and local agencies.
Three tracks aligned to DTA Policy 2.0 and the National Framework cornerstones. Designed for multi-jurisdictional agencies as well as single-tier organisations.
Track A
Strategy & accountability
AI strategy aligned to DTA requirements, governance structure design, Chief AI Officer role definition, and transparency statement support for federal and state agencies.
Track B
Risk & impact assessment
DTA Impact Assessment Tool completion, risk classification against Australia's 8 AI Ethics Principles, AI Review Committee preparation, and state framework alignment (NSW, VIC, QLD).
Track C
Procurement & training
AI Model Clauses v2.0 implementation, ISO/IEC 42001 vendor verification, PSPF security checks, and DTA-compliant AI fundamentals training for APS staff by December 2026.
Citizens expect accountability. Regulators and Parliament demand it.
Start with the AI Risk Calculator for a baseline view in under five minutes. From there we can map your agency's AI inventory against DTA Policy 2.0, the National Framework, the relevant state regime, and the AI Model Clauses v2.0.