This is the second part of our special two-part series, where we dive into the surprising and unexpected ways artificial intelligence, or AI, and the law intersect.

This episode takes a closer look at the evolving efforts to regulate AI—an urgent issue that governments and leaders across Australia and around the world are tackling right now.

We delve into the complexities of assigning responsibility and managing risks in AI systems—especially when so many hands contribute to their creation. How do you hold a system accountable when its impacts can be so widespread and unpredictable?

Our guest is Dr. Henry Fraser, a Research Fellow in Law, Accountability, and Data Science at QUT and the ARC Centre of Excellence for Automated Decision Making and Society. His research focuses on developing laws that encourage responsible automated decision-making.

Our host for this series is Dr. Aaron Snoswell, a senior research fellow in A-I accountability at the QUT Generative AI Lab, and co-lead of the Responsible Data Science and A-I program at the QUT Centre for Data Science.

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• Locating fault and responsibility for AI harms
• Should Australia follow Europe’s approach to AI standards?
• Deaths linked to chatbots show that we must urgently revisit what counts as ‘high-risk’ AI
• ‘AI Safety’ doesn’t make AI safe
• Acceptable risks in Europe’s Proposed AI Act: Reasonableness and Other Principles for Deciding How Much Risk Management Is Enough