Our Work
This paper is about why we find it problematic to appeal to certain kinds of statistical or profiling evidence when making decisions about individuals. I argue for a novel solution: the problem has to do with the causal information carried by the evidence. We object to evidence that is merely accidental in that it does not carry appropriate causal information pertinent to the decision.
Read MoreThis online seminar was co-hosted by HMI and the Centre for AI and Digital Ethics at the University of Melbourne. The seminar was given by Dr Jake Goldenfein, Dr Sebastian Benthall, Associate Professor Tatiana Cutts and Professor Seth Lazar. Click through for more information.
Read MoreAtoosa Kasirzadeh, Will Bateman and Tiberio Caetano joined a panel of leading interdisciplinary experts to explore the complex legal and ethical challenges AI and automated decision-making present to industry, government and the legal profession. Click through for more information.
Read MoreIn this interview, Claire Benn discussed the ethics of facial recognition, from the trends we have seen across the world concerning the development and deployment of facial recognition to the future role facial recognition might play here in Australia. Beginning with the core components of all facial recognition, Dr Benn explores the dangers and opportunities facial recognition presents when it goes right and when it goes wrong.
Read MoreDr Will Bateman presented ‘Mechanical Cognition, Determinism and Individual Justice: New Challenges for Administrative Law from AI’ at a lunchtime webinar on the 13th of October 2020. The event was chaired by Paul Pfitzner. Click through for more information.
Read MoreA paper workshop that was co-hosted by Dr Damian Clifford RF of the HMI project at ANU, and Prof Jeannie Paterson, co-Director, CAIDE at University of Melbourne. Click through for more information or view a draft agenda here.
Read MoreInformation sharing has become a central concern for security agencies since 9/11. Drawing on ideas from the sociology of information and trust, this article adapts Ericson’s framework of rule-following to an Australian case study to frame the sharing/withholding of information between agencies as dependent on rules as a system of trust.
Read MoreThis chapter is an overview of the use of algorithms in government decision-making, and particularly of the legal issues which arise as a result. The chapter moves from a description of the use of automation in government to a discussion of its effect on core rule of law values.
Read MoreSeth Lazar was invited to be on the Academic Board's Data Governance Working Group, with the remit to consider the university's principles and policies around data protection, in particular in relation to the data generated by members of the university as they use its services (digital and otherwise).
Read MoreThis paper examines the epistemic value of using topological methods to study the "shape" of data sets. It is argued that the category theoretic notion of "functoriality" aids in translating visual intuitions about structure in data into precise, computable descriptions of real-world systems.
Read MoreThrough an exploration of content moderation on the social media site Reddit, the authors argue for systematic standards of information governance and the legal treatment of social media companies as media producers.
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