The race to regulate artificial intelligence (AI) is a key aspect of strategic competition, as major world powers seek to export value systems through the technical standards they promote. This report considers the main regulatory frameworks worldwide, with examples from the United States, the European Union, Japan, China and Canada, as well as various international...

When a device controlled by artificial intelligence (AI) is involved in an accident causing bodily harm, who is at fault? The manufacturer, software developer or the user? This policy brief looks at the challenges in determining who is at fault when AI goes awry and how to address the liability gap.

This submission to the Government’s consultation on safe and responsible AI provides general feedback on the proposed framework. It highlights the need for risk-based approaches which emphasise the role of consumer choice, protect children's interests, and embrace the precautionary principle.

This paper has been developed by the Education Ministers Artificial Intelligence in Schools Taskforce to support consultation on the draft Australian framework for Generative Artificial Intelligence in schools. Public feedback on the draft framework will help refine the final Australian framework for consideration by Education Ministers before the end of 2023.

National governments have created (artificial intelligence) AI-related strategies, frameworks and guidelines on the ethical use of AI. Yet while people have faith in AI to produce good and reliable outcomes, they have questions about the safety and security of AI systems. This report, which distills perspectives from an expert roundtable of leaders in Australia, discusses...