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Artificial Intelligence (AI)

Alternative labels
Generative AI (GenAI)
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Current term
Artificial Intelligence (AI)
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Submission

Submission to Productivity Commission Pillar 3: harnessing data and digital technology interim report

Natalie Sheard, Nicolas Suzor, Kimberlee Weatherall, Fan Yang, Jacky Zeng

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.
Report

Digital platforms’ efforts under voluntary arrangements to combat disinformation and misinformation


This report sets out the Australian Code of Practice on Disinformation and Misinformation digital platform signatories' efforts under the voluntary arrangements to combat disinformation and misinformation. It offers insights into key developments and data reported by signatories throughout 2024, including information on policies and approaches to artificial intelligence, content moderation and coordinated inauthentic behaviour.
Strategy

AI & human behaviour


A framework addressing four fundamental issues facing artificial intelligence (AI): how behavioural science can augment AI’s capabilities; why individuals adopt or resist AI; how we can align AI design with human psychology; and how society must adapt to the impacts of AI.
Report

Australian science, Australia’s future: science 2035


This report examines the capability of Australia’s science system, its ability to compete and collaborate globally, and its contribution to the nation’s economy, security, health and quality of life. An investigation of scientific capability needs by 2035 found Australia has gaps – in workforce, infrastructure and coordination – that will cripple its ability to meet...
Report

Our Gen AI transition: case studies


A compendium of eight case studies provides practical insights into how individuals and organisations are navigating the implementation of Generative AI (Gen AI) in Australia. The case studies highlight the importance of context-specific adoption and adaptation rather than one-size-fits-all approaches. The compendium is organised around three themes that emerged from the case studies.