Technology ethical aspects
Working paper
Generative AI experimentation in government: learning from emerging guidelines
Public servants are increasingly adopting generative artificial intelligence (GenAI), often without formal oversight. This paper addresses the widening gap between rapid, decentralised GenAI uptake and lagging public governance mechanisms. The paper examines how 14 jurisdictions, including Australia, translate high-level ethical principles into operational practice. It presents an evaluation framework across five core areas.
Report
Policies supporting responsible and systematic GenAI adoption in higher education
The increasing capabilities and rapid proliferation of artificial intelligence (AI) technologies are reshaping higher education. This spotlight explores how generative AI is being adopted and used in higher education, highlighting the opportunities and challenges associated with its growing use. It identifies five areas of emerging system-level policy responses.
Report
Preparedness for artificial intelligence in Aboriginal and Torres Strait Islander health: workforce policy, perspectives and future directions
For Aboriginal and Torres Strait Islander peoples, communities and organisations to realise the benefits of artificial intelligence (AI) technologies, while safeguarding against potential harms, leadership, perspectives and Indigenous Knowledge Systems need to be embedded throughout the AI lifecycle. This scoping and policy review builds on the work of Artificial intelligence for healthcare in Australian Indigenous...
Report
Preliminary report of the Independent International Scientific Panel on AI
The report provides an independent scientific assessment of the capabilities, emerging opportunities and risks of artificial intelligence (AI). It’s central warning: current safeguards cannot keep pace with the growth of AI’s capabilities. The report outlines trends in AI and presents its findings across seven key domains.
Guide
Greening AI in the public sector: an introductory handbook for procurement
As public agencies consider adopting new artificial intelligence (AI) products, it’s clear that residents and public sector staff have concerns about the environmental impacts of AI infrastructures. This handbook demonstrates that there are practical steps agencies can take to incorporate environmental performance criteria into public AI procurement, optimising sustainability while preserving quality of service.