In November, MINT Lab Research Fellow Sean Donahue traveled to Sydney, Hong Kong, and Carnegie Mellon universities to present his research on platform legitimacy and digital governance.
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This week at the MINT Lab Seminar, Jake Stone presented his research arguing that corporate involvement in open source AI isn't simply exploitative, but can create mutually beneficial partnerships when properly governed.
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In this paper, Seth Lazar and Lorenzo Manuali argue that that LLMs should not be used for formal democratic decision-making, but that they can be put to good use in strengthening the informal public sphere: the arena that mediates between democratic governments and the polities that they serve, in which political communities seek information, form civic publics, and hold their leaders to account.
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In this essay Seth develops a democratic egalitarian theory of communicative justice to guide the governance of the digital public sphere.
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In this essay Seth develops a model of algorithmically-mediated social relations through the concept of the "Algorithmic City," examining how this new form of intermediary power challenges traditional theories in political philosophy.
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Prof. Lazar will lead efforts to address AI's impact on democracy during a 2024-2025 tenure as a senior AI Advisor at the Knight Institute.
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The UK government is considering the use of Large Language Models to summarise and analyse submissions during public consultations. Seth weighs in on the considerations behind such a suggestion for the Guardian.
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Seth was invited on the Generally Intelligent podcast to discuss issues of power, legitimacy, and the political philosophy of AI.
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Seth has completed a book chapter forthcoming with MIT Press. The book is Collaborative Intelligence: How Humans and AI are Transforming our World, edited by Arathi Sethumadhavan and Mira Lane.
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MINT is teaming up with the HUMANE.AI EU project, represented by PhD student Jonne Maas, to support a workshop on political philosophy and AI, to take place at Kioloa Coastal Campus in June 2024.
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MINT is teaming up with colleagues in the US to edit a special section of the Journal of Responsible Computing on Barocas, Hardt and Narayanan’s book on Fair Machine Learning: Limitations and Opportunities.
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Seth Lazar aand former White House policy advisor Alex Pascal, assess democracy’s prospects in a world with AGI, in Tech Policy Press
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