This project works with NSW ICAC to explore the revolutionary pattern-matching potential of artificial intelligence systems as an anticorruption tool, providing the much-needed legal and policy roadmap that assures it will be deployed well.
To address corruption effectively, anticorruption agencies across the world first have to detect it. Agencies such as the NSW Independent Commission Against Corruption (ICAC), the Primary Industry Partner in this project, currently rely on warning signs, random or risk-based audits; information from investigative processes; and tip-offs that whistle-blowers provide at high personal cost. This is inadequate. The resulting enforcement can be suboptimal or partial, and leave low-intensity systemic corruption undetected for long periods of time. In turn, this will slowly corrode public integrity and fuel citizens’ perception of widespread corruption and government inefficiency.
This project brings together legal and policy research expertise in the regulation and deployment of Artificial Intelligence (AI) in the public sector, in close partnership with Australia’s longest-established anticorruption body, to chart a clear, achievable path for a radically new way to identify potentially corrupt behaviour.
This project is funded by an Australia Research Council (ARC) Early Career Industry Fellowship, Grant ID: IE240100096
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