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Trust, Ethics and Governance Alliance Seminar Series: Algorithmic decision-making and system destructiveness: A case of automatic debt recovery
Abstract:
Governments are increasingly relying on algorithmic decision-making (ADM) to deliver public services. Recent information systems literature has raised concerns regarding ADM’s negative unintended consequences, such as widespread discrimination, which in extreme cases can be destructive to society. The extant empirical literature, however, has not sufficiently examined the destructive effects of governmental ADM. In this paper, we report on a case study of the Australian government’s “Robodebt” programme that was designed to automatically calculate and collect welfare overpayment debts from citizens but ended up causing severe distress to citizens and welfare agency staff. Employing perspectives from systems thinking and organisational limits, we develop a research model that explains how a socially destructive government ADM programme was initiated, sustained, and delegitimized. The model offers a set of generalisable mechanisms that can benefit investigations of ADM’s consequences. Our findings contribute to the literature of unintended consequences of ADM and demonstrate to practitioners the importance of setting up robust governance infrastructures for ADM programmes.

Speaker
Tapani Rinta-Kahila is Lecturer at the University of Queensland. His research addresses current issues with socio-technical change in organisations. Focus areas include the organisational implementation of artificial intelligence and automation, the identification and prevention of technologies’ negative effects on individuals and organisations, as well as the discontinuance of incumbent information technologies.

Important Information
** Please be aware, this online event will be recorded and may be shared on our TEGA website, YouTube and LinkedIn. If you wish not to be seen on camera, please turn your video off and mute your microphone. You can use the chat function to forward any questions you have if you wish to remain anonymous.

Nov 25, 2021 12:00 PM in Brisbane

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