Transparency
People should know where AI is being used and when it influences work or decisions that affect them.
A public information website helping Australians understand how AI is used at work, what can go wrong, and how people can keep human control, accountability, transparency and data protection at the centre of AI-assisted work.

AI governance ensures ethical, lawful and safe AI use by making AI visible, protecting data, testing for bias, building transparency, keeping humans accountable and helping prevent avoidable AI-related incidents across the workplace lifecycle.
AI can improve productivity, service quality, decision-making and innovation. It can also create privacy, cyber security, bias, discrimination, poor-output, shadow AI, workforce and accountability risks if no one manages the lifecycle.
People should know where AI is being used and when it influences work or decisions that affect them.
AI should support judgement, not remove responsibility from managers, staff or leaders.
Personal, confidential and sensitive information needs clear rules before AI tools are used.
High-risk use needs approval, testing, monitoring, records and review before it becomes normal practice.

Responsible AI adoption is not a one-off approval. Workplaces need a practical lifecycle: identify the use, assess the risk, approve the controls, train people, monitor performance, report issues and review whether the system should continue.
Identify where AI is being used, consult workers, train staff, protect information and monitor risks.
Check outputs, protect data, watch for hallucinations and know when human review is needed.
Directors and executives need a clear view of AI risk, value, incidents, controls and responsibility.

What new Privacy Act transparency requirements mean for APP entities using computer programs in significant decisions.
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How construction, electricity, grid connections, water, hardware and local infrastructure shape the real cost of AI.
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How AI is changing workplace tasks, skills, job design and the need for consultation across Australia.
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Why fast AI uptake needs stronger data readiness, accountability and human review before scaling.
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What changing access to advanced AI models teaches organisations about resilience, cyber risk and governance.
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How AI has progressed from traditional software to machine learning, generative AI, agentic AI and future AI concepts.
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How an AI use register helps make workplace AI visible, accountable and easier to review.
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How AI infrastructure demand is affecting memory, storage and hardware procurement planning.
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A practical introduction to rules, review, transparency and accountability for workplace AI use.
Read more →Good governance starts with visibility, plain-language rules, practical training and meaningful human review for high-impact AI use.