Current governance settings and challenges for ADM/AI governance post-Robodebt скачать в хорошем качестве

Current governance settings and challenges for ADM/AI governance post-Robodebt

Australian governments have accelerated the creation of guidelines and regulatory frameworks to govern Automated Decision-Making (ADM) and AI in public services, driven by lessons from digital government failures like Robodebt and emerging challenges posed by Generative AI and global AI governance trends. This panel discussed these developments, exploring their implications and future directions for responsible AI use in government. In the last two years, Australian governments have been rapidly developing and installing new guidelines, regulatory frameworks and laws to better guide the development and deployment of ADM and AI in government operations, policy making and service delivery. These initiatives have been in response to the challenges exposed by digital government failures, as exemplified by Robodebt, the new opportunities and risks of Generative AI, and AI governance developments internationally. The panel discussion drew on the expertise and experience of panellists to critically investigate positive and proactive governance tools that could foster better, healthier, and more socially inclusive digital environments amid the rise of automation and AI. It examined lessons from the development of public sector social services approaches in Australia and frontline services, alongside emerging moves to establish positive duties of care for private sector operators. Speakers: Damien Carrick, ABC Radio National, Law Report (Chair) Kate Allingham, Economic Justice Australia Terry Carney, University of Sydney Alexandra Sinclair, University of Sydney Kimberlee Weatherall, University of Sydney