Upcoming Seminar Series: Alternative Data Governance // Alternative Data Economies

This four-part seminar series will explore alternative strategies for governing data and the digital economy. It is presented by the ARC Centre of Excellence for Automated Decision-Making and Society, in combination with the Humanising Machine Intelligence project at the Australian National University, and the Centre for Artificial Intelligence and Digital Ethics at Melbourne Law School, University of Melbourne. Click through for more information.

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Algorithmic and human decision making: for a double standard of transparency

Should decision-making algorithms be held to higher standards of transparency than human beings? The way we answer this question directly impacts what we demand from explainable algorithms, how we govern them via regulatory proposals, and how explainable algorithms may help resolve the social problems associated with decision making supported by artificial intelligence. Some argue that algorithms and humans should be held to the same standards of transparency and that a double standard of transparency is hardly justified. We give two arguments to the contrary and specify two kinds of situations for which higher standards of transparency are required from algorithmic decisions as compared to humans. Our arguments have direct implications on the demands from explainable algorithms in decision-making contexts such as automated transportation.

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Children’s Privacy in Lockdown: Intersections between Privacy, Participation and Protection Rights in a Pandemic

Children and young people throughout the world have felt the effects of Coronavirus Disease 2019 and the decisions made in response to the public health crisis acutely. Questions have been raised about adequately protecting children’s privacy, as schooling, play and socialising went almost exclusively online. However, due to the historical lack of children’s rights being embedded throughout decision-making processes (including important participation rights), the effects of the increased surveillance as a result of the pandemic have not been thoroughly considered. This article pursues three objectives. First, it seeks to develop the literature on the enabling aspects of privacy for children in relation to education and play. Second, it seeks to expand the discussion on the exploitative risks endemic in not protecting children’s privacy, including not only violent harms, but commercial exploitation. Third, it suggests some policy responses that will more effectively embed a children’s rights framework beyond the ‘parental control’ provisions that dominate child-specific data protection frameworks.

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