Australia Guidance for AI Adoption (2025)
Australia's national guidance for responsible AI governance and adoption (National AI Centre, October 2025): six essential practices (decide who is accountable, understand impacts, measure and manage risks, share essential information, test and monitor, maintain human control) set out as 74 implementation practices for developers and deployers. It replaces the Voluntary AI Safety Standard and evolves the 2019 AI Ethics Principles.
Australia Guidance for AI Adoption (2025) is a compliance framework from Australia with 6 domains and 74 controls that map to 2 other frameworks. The largest domains are Practice 3: Measure and manage risks – Australia Guidance for AI Adoption (2025) (16 controls), Practice 5: Test and monitor – Australia Guidance for AI Adoption (2025) (15 controls), Practice 2: Understand impacts and plan accordingly – Australia Guidance for AI Adoption (2025) (14 controls). Every control below carries what it requires and what an assessor expects to see.
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Framework Domains (6)
Practice 1: Decide who is accountable – Australia Guidance for AI Adoption (2025)
| Code | Title |
|---|---|
| australia-guidance-for-ai-adoption-2025::1.1.1 | 1.1.1 Assign and communicate accountabilities for the AI management system |
| australia-guidance-for-ai-adoption-2025::1.1.2 | 1.1.2 Define competencies, authority and resources of accountable people |
| australia-guidance-for-ai-adoption-2025::1.2.1 | 1.2.1 Allocate shared responsibility across the AI supply chain |
| australia-guidance-for-ai-adoption-2025::1.2.2 | 1.2.2 Document developers' obligations to downstream organisations |
| australia-guidance-for-ai-adoption-2025::1.3.1 | 1.3.1 Build organisation-wide AI literacy |
| australia-guidance-for-ai-adoption-2025::1.3.2 | 1.3.2 Train accountable people for their specific responsibilities |
| australia-guidance-for-ai-adoption-2025::1.4.1 | 1.4.1 Document strategic intent, applicable regulation and AI policies |
| australia-guidance-for-ai-adoption-2025::1.4.2 | 1.4.2 Operate the AI management system effectively |
| australia-guidance-for-ai-adoption-2025::1.4.3 | 1.4.3 Monitor compliance with AI policies |
Practice 2: Understand impacts and plan accordingly – Australia Guidance for AI Adoption (2025)
| Code | Title |
|---|---|
| australia-guidance-for-ai-adoption-2025::2.1.1 | 2.1.1 Identify stakeholder types and their needs |
| australia-guidance-for-ai-adoption-2025::2.1.2 | 2.1.2 Select the stakeholder needs policies will address |
| australia-guidance-for-ai-adoption-2025::2.1.3 | 2.1.3 Commit to preventing harm and upholding diversity, inclusion and fairness |
| australia-guidance-for-ai-adoption-2025::2.1.4 | 2.1.4 Document each AI system's scope |
| australia-guidance-for-ai-adoption-2025::2.1.5 | 2.1.5 Engage stakeholders to identify benefits and harms |
| australia-guidance-for-ai-adoption-2025::2.1.6 | 2.1.6 Analyse the impact of every documented harm |
| australia-guidance-for-ai-adoption-2025::2.1.7 | 2.1.7 Monitor for harms through continuing stakeholder engagement |
| australia-guidance-for-ai-adoption-2025::2.1.8 | 2.1.8 Support meaningful stakeholder feedback |
| australia-guidance-for-ai-adoption-2025::2.2.1 | 2.2.1 Establish a process for concerns, challenges and remediation |
| australia-guidance-for-ai-adoption-2025::2.2.2 | 2.2.2 Build system-level contestability mechanisms |
| australia-guidance-for-ai-adoption-2025::2.2.3 | 2.2.3 Let deployers escalate feedback to developers |
| australia-guidance-for-ai-adoption-2025::2.2.4 | 2.2.4 Enable reviewers to trigger recourse and redress |
| australia-guidance-for-ai-adoption-2025::2.3.1 | 2.3.1 Monitor contestability and redress for systemic risk |
| australia-guidance-for-ai-adoption-2025::2.3.2 | 2.3.2 Review stakeholder contests across the organisation |
Practice 3: Measure and manage risks – Australia Guidance for AI Adoption (2025)
| Code | Title |
|---|---|
| australia-guidance-for-ai-adoption-2025::3.1.1 | 3.1.1 Create an AI risk management framework, risk criteria and assessment processes |
| australia-guidance-for-ai-adoption-2025::3.1.2 | 3.1.2 Manage risks from third parties and open-source AI |
| australia-guidance-for-ai-adoption-2025::3.1.3 | 3.1.3 Report risk outcomes in consistent formats |
| australia-guidance-for-ai-adoption-2025::3.2.1 | 3.2.1 Triage AI systems for enhanced or unacceptable risk |
| australia-guidance-for-ai-adoption-2025::3.2.2 | 3.2.2 Assess each AI system's risks |
| australia-guidance-for-ai-adoption-2025::3.2.3 | 3.2.3 Evaluate likelihood and consequence, including of not deploying |
| australia-guidance-for-ai-adoption-2025::3.3.1 | 3.3.1 Plan and implement risk treatment and verify it |
| australia-guidance-for-ai-adoption-2025::3.3.2 | 3.3.2 Communicate risk treatment plans |
| australia-guidance-for-ai-adoption-2025::3.3.3 | 3.3.3 Plan response and recovery for residual risk |
| australia-guidance-for-ai-adoption-2025::3.3.4 | 3.3.4 Apply leading-practice safety measures |
| australia-guidance-for-ai-adoption-2025::3.4.1 | 3.4.1 Track and report serious incidents |
| australia-guidance-for-ai-adoption-2025::3.4.2 | 3.4.2 Meet AI-related reporting and disclosure obligations |
| australia-guidance-for-ai-adoption-2025::3.4.3 | 3.4.3 Conform to data breach reporting requirements |
| australia-guidance-for-ai-adoption-2025::3.4.4 | 3.4.4 Keep two-way incident communication between developers and deployers |
| australia-guidance-for-ai-adoption-2025::3.4.5 | 3.4.5 Review risk assessments and treatment plans |
| australia-guidance-for-ai-adoption-2025::3.4.6 | 3.4.6 Improve the risk management process |
Practice 4: Share essential information – Australia Guidance for AI Adoption (2025)
| Code | Title |
|---|---|
| australia-guidance-for-ai-adoption-2025::4.1.1 | 4.1.1 Maintain an organisation-wide AI register |
| australia-guidance-for-ai-adoption-2025::4.1.2 | 4.1.2 Adopt a transparency policy for AI use |
| australia-guidance-for-ai-adoption-2025::4.1.3 | 4.1.3 Set transparency and explainability requirements per system |
| australia-guidance-for-ai-adoption-2025::4.1.4 | 4.1.4 Scale transparency to general-purpose AI risks |
| australia-guidance-for-ai-adoption-2025::4.1.5 | 4.1.5 Prefer interpretable and explainable systems |
| australia-guidance-for-ai-adoption-2025::4.1.6 | 4.1.6 Provide explainable systems to accountable people and deployers |
| australia-guidance-for-ai-adoption-2025::4.1.7 | 4.1.7 Test and disclose capabilities and limitations before deployment |
| australia-guidance-for-ai-adoption-2025::4.3.1 | 4.3.1 Obtain technical details from upstream providers |
| australia-guidance-for-ai-adoption-2025::4.3.2 | 4.3.2 Share model and system information with downstream deployers |
| australia-guidance-for-ai-adoption-2025::4.3.3 | 4.3.3 Report issues and bias back to upstream developers |
| australia-guidance-for-ai-adoption-2025::4.3.4 | 4.3.4 Put information requirements in supplier contracts |
| australia-guidance-for-ai-adoption-2025::4.4.1 | 4.4.1 Apply transparency mechanisms to AI-generated content |
Practice 5: Test and monitor – Australia Guidance for AI Adoption (2025)
| Code | Title |
|---|---|
| australia-guidance-for-ai-adoption-2025::5.1.1 | 5.1.1 Oversee testing and post-deployment monitoring |
| australia-guidance-for-ai-adoption-2025::5.1.2 | 5.1.2 Define acceptance criteria and test before deployment |
| australia-guidance-for-ai-adoption-2025::5.1.3 | 5.1.3 Document tests and outcomes for audit |
| australia-guidance-for-ai-adoption-2025::5.1.4 | 5.1.4 Obtain and check supplier test results |
| australia-guidance-for-ai-adoption-2025::5.1.5 | 5.1.5 Obtain documented deployment authorisation |
| australia-guidance-for-ai-adoption-2025::5.2.1 | 5.2.1 Monitor key metrics for each AI system |
| australia-guidance-for-ai-adoption-2025::5.2.2 | 5.2.2 Map business targets to performance metrics |
| australia-guidance-for-ai-adoption-2025::5.2.3 | 5.2.3 Establish response processes for foreseeable issues |
| australia-guidance-for-ai-adoption-2025::5.2.4 | 5.2.4 Hold regular performance reviews |
| australia-guidance-for-ai-adoption-2025::5.2.5 | 5.2.5 Set monitoring and oversight requirements before deployment |
| australia-guidance-for-ai-adoption-2025::5.3.1 | 5.3.1 Conduct capability-scaled safety evaluations |
| australia-guidance-for-ai-adoption-2025::5.3.2 | 5.3.2 Independently review testing for enhanced-risk and GPAI uses |
| australia-guidance-for-ai-adoption-2025::5.3.3 | 5.3.3 Decide on and conduct risk-based audits |
| australia-guidance-for-ai-adoption-2025::5.4.1 | 5.4.1 Extend data governance, privacy and cybersecurity policies to AI |
| australia-guidance-for-ai-adoption-2025::5.4.2 | 5.4.2 Apply data and security controls per AI use case |
Practice 6: Maintain human control – Australia Guidance for AI Adoption (2025)
| Code | Title |
|---|---|
| australia-guidance-for-ai-adoption-2025::6.1.1 | 6.1.1 Maintain accountability, capability and oversight across the lifecycle |
| australia-guidance-for-ai-adoption-2025::6.1.2 | 6.1.2 Build mechanisms for human control and intervention |
| australia-guidance-for-ai-adoption-2025::6.1.3 | 6.1.3 Provide oversight mechanisms for systemic risks and emerging capabilities |
| australia-guidance-for-ai-adoption-2025::6.1.4 | 6.1.4 Train people who oversee or use AI systems |
| australia-guidance-for-ai-adoption-2025::6.2.1 | 6.2.1 Define termination criteria and plan decommissioning |
| australia-guidance-for-ai-adoption-2025::6.2.2 | 6.2.2 Notify affected parties of retirement or shutdown |
| australia-guidance-for-ai-adoption-2025::6.2.3 | 6.2.3 Provide alternative systems or processes where needed |
| australia-guidance-for-ai-adoption-2025::6.2.4 | 6.2.4 Maintain alternative pathways for critical functions |
Maps to 2 other frameworks
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This page shows what Australia Guidance for AI Adoption (2025) overlaps with in general. Where your organisation actually stands, against the standard you are going for and the certifications you already hold, is a different question. Same graph and the same recorded refutations, scoped to you rather than to a pair.
The Compliance Position Diagnostic, $5,000 fixed, ten business daysWhat is Australia Guidance for AI Adoption (2025) and who does it apply to?
Australia Guidance for AI Adoption (2025) is a compliance framework from Australia with 6 domains and 74 controls. Australia's national guidance for responsible AI governance and adoption (National AI Centre, October 2025): six essential practices (decide who is accountable, understand impacts, measure and manage risks, share essential information, test and monitor, maintain human control) set out as 74 implementation practices for developers and deployers. It replaces the Voluntary AI Safety Standard and evolves the 2019 AI Ethics Principles. It is used by organisations to establish and maintain compliance with industry standards and regulatory requirements.
What does Australia Guidance for AI Adoption (2025) actually require?
Australia Guidance for AI Adoption (2025) has 74 controls organised across 6 domains. The largest domains are Practice 3: Measure and manage risks – Australia Guidance for AI Adoption (2025) (16 controls), Practice 5: Test and monitor – Australia Guidance for AI Adoption (2025) (15 controls), Practice 2: Understand impacts and plan accordingly – Australia Guidance for AI Adoption (2025) (14 controls). Each control defines specific requirements that organisations must implement to achieve compliance.
If I already comply with another framework, how much of Australia Guidance for AI Adoption (2025) do I already cover?
Australia Guidance for AI Adoption (2025) maps to 2 other compliance frameworks. The top mapping partners are Australia National Framework for the Assurance of AI in Government (2024) (35% coverage), NSW AI Operational Policy (2026) (32% coverage). Use our comparison tool to explore control-level mappings between frameworks.
How do I implement Australia Guidance for AI Adoption (2025)?
Start your Australia Guidance for AI Adoption (2025) compliance journey by running a self-assessment on our platform to identify your current compliance posture. Our AI advisory can answer specific questions about Australia Guidance for AI Adoption (2025) requirements, and cross-framework mapping helps you leverage existing controls from other frameworks you may already comply with. Create a free account to access all 74 controls and track your progress.
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