Artificial Intelligence (AI)
Alternative labels
Generative AI (GenAI)
Evaluation
Age Assurance Technology Trial
The Age Assurance Technology Trial evaluated the effectiveness, reliability and privacy impacts of a range of age assurance technologies. It assesses their performance against a wide range of internationally recognised criteria. It finds age assurance can be done in Australia privately, efficiently and effectively.
Working paper
Voice AI and authenticity: current issues and emerging challenges
Voice technologies are rapidly being integrated into generative artificial intelligence (AI) enabled systems and applications. This paper surveys and historically situates these developments, reviews the current literature in relevant fields, and outlines some emerging responses to the challenges such technologies present to the issue of authenticity in real-world settings.
Position paper
Made in Australia: our AI opportunity
Artificial intelligence is radically reshaping work, education and security in Australia, and is officially recognised as a critical technology in government policy. How we harness it will impact the nation’s economic prosperity, national security and continuing innovation. This statement outlines how targeted investment in a strong national AI capability can position Australia as a global...
Survey Report
Future ready: Australians and AI workplace tech
Australian workers are optimistic about artificial intelligence (AI) adoption and the impact it will have in the workplace according to this report that finds most workers believe technology has improved their working lives. The report provides insights on the impact, adoption and concerns related to AI and technology in the workplace.
Discussion paper
Checking for MistAIkes, the hidden negative externalities in the AI productivity debate
Approaches to regulating artificial intelligence (AI) have turned from discussions around safety, ethics and human rights, into ones around productivity, efficiency and worker outputs. This report is a literature review around current AI productivity claims. It is intended to provide key insights and evidence-based counterpoints to current claims around AI productivity.