This report examines Commonwealth agencies’ compliance with the government’s policy on responsible artificial intelligence (AI) use. It finds AI transparency statements are often difficult to locate, with few available through the recommended direct link. Thirty entities had no identifiable statement and published statements varied in quality. The report provides recommendations to improve their findability and...

This submission addresses policy reform areas in the Australian Productivity Commission’s inquiry into Pillar 3: harnessing data and digital technology. It focuses on enabling artificial intelligence's productivity potential and supporting safe data access and use through outcomes-based privacy regulation. The submission raises doubts about the interim report’s much-hyped productivity gains.

This submission argues that a more comprehensive regulatory framework for automated decision-making (ADM) in the public sector is required. It calls for a framework that goes beyond existing administrative law, is not limited to AI-based systems and includes measures for prevention, enforcement and accountability.

This submission argues that the public sector should be an exemplar of safe and responsible artificial intelligence (AI) use and demonstrate the positive potentials of technology. The public sector should, in its use of AI, demonstrate the positive impacts that technology can have in achieving important public goals, such as promoting access, inclusion, and better...

This submission is the product of a collaborative process involving direct contributions from ADM+S researchers, as led and consolidated by Professor Kimberlee Weatherall (University of Sydney Law School).