Sean Donahue has accepted an offer to join MINT, funded by the ARC Future Fellowship project ‘Automatic Authorities: Charting a Course for Legitimate AI’
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Claire Benn and Seth Lazar ask what is wrong with online behavioural advertising and recommender systems, in this paper published in the Canadian Journal of Philosophy.
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Seth Lazar gave a tutorial on power in political philosophy to attendees of the ACM FAccT conference on Thursday the 4th of March 2021. Click through for more information.
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Seth 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).
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Should we use large-scale facial recognition systems? This article in The Conversation distinguishes between facial recognition and face surveillance and argues that we should demand a moratorium on face surveillance.
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This article, in US magazine Barron's, explores how to think about the privacy risks of app-based contact-tracing in the age of big data, arguing that even if tech companies choose wisely and justly, the 'laws' of their operating systems cannot be legitimate. Democratic institutions are the only means we've discovered to legitimate the use of power in complex social systems.
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In this article, co-authored with epidemiologist Meru Sheel, Seth Lazar questions whether tech companies or democratically-elected governments should decide how to weigh privacy against public health, when fundamental rights are not at stake.
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The US Defense Innovation Board recently approved a document proposing principles governing the deployment of AI within the Department of Defense. HMI project leader Seth Lazar was invited to an expert panel discussing candidate principles, and made a submission to the Board.
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On the shoulders of the Stanford Human-Centred AI Institute's fall conference in 2019, Seth Lazar and Stanford's Rob Reich co-convened a one-day workshop to explore the morality, law and politics of data and AI.
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