This report explores how corporate Artificial Intelligence (AI) impacts institutions serving the public good, focusing on universities and social services. It invites reflection and critical questioning through thought‑provoking prompts. Designed to spark dialogue, advocacy and policy engagement, it offers resources that encourage deeper exploration of AI’s role through a Data Justice lens.

This paper reports on discussions with people with disability about the ethical implications of artificial intelligence and automated decision-making (ADM). It finds that participants were concerned about how ADM systems affect self-determination, caring relationships and identity recognition, as well as the political-economic drivers of automation.

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 research explores how people with disability are collectively responding to the threats posed by algorithmic, data-driven systems - specifically their public sector applications.

Recent developments involving algorithmic technologies have raised concerns over the NDIS and its ability to uphold its promise of personalised support. This submission highlights these concerns, outlines the challenges posed by algorithmic decision-making, and proposes steps towards a more inclusive and equitable NDIS.