Artificial Intelligence (AI)
Alternative labels
Generative AI (GenAI)
Briefing paper
Beyond output per hour: productivity measurement in an AI-driven economy
Conventional productivity measurement frameworks increasingly fall short in recognising emergent drivers of productivity. This paper puts forward an enhanced productivity measurement framework incorporating extra inputs that are both distinct and essential to current and future productivity growth – information and data, care and human services, and artificial intelligence.
Report
AI openness: a primer for policymakers
This paper explores openness in artificial intelligence (AI), including relevant terminology and how different degrees of openness can exist. There is ongoing debate about the risks, benefits and trade-offs of making AI models publicly available. This paper seeks to support policy discussions on how to balance the openness of generative AI foundation models with responsible...
Report
Our Gen AI transition: implications for work and skills
This report looks at how generative artificial intelligence (Gen AI) is starting to transform work, skills and the Australian labour market. It provides a whole-of-labour-market view of Gen AI’s potential, impact to date, and what’s needed to support Australia's digital and AI transition. The report finds that Gen AI is more likely to augment jobs...
Report
Artificial intelligence in healthcare
Over the past decade, artificial intelligence (AI) has gained significant momentum in healthcare. This report outlines its potential, ethical considerations, existing laws and the international response to AI in healthcare. It maintains the final decision on patient care should always be made by a human. The report calls on the government to make certain obligations...
Report
Gen AI and journalism: towards common principles
Three years after generative artificial intelligence (AI) threatened to become a major disruptor to the journalism industry, this report finds it remains neither its saviour nor its downfall. The report examines key global developments in generative AI, its ongoing impact on public interest journalism, and the views of Australian newsrooms towards using it.