Professor Seth Lazar will be a keynote speaker at the inaugural Australian AI Safety Forum 2024, joining other leading experts to discuss critical challenges in ensuring the safe development of artificial intelligence.
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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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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 Lazar has been invited to attend a convening of the Network of AI Safety Institutes hosted by the US AISI, to take place in San Francisco on November 20-21.
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In this seminar Tim Dubber presents his work on fully autonomous AI combatants and outlines five key research priorities for reducing catastrophic harms from their development.
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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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The Knight First Amendment Institute invites submissions for its spring 2025 symposium, “Artificial Intelligence and Democratic Freedoms.”
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This workshop aims to bring together the best philosophical work on normative questions raised by computing, and in addition to identify and connect early career scholars working on these questions. It will feature papers that use the tools of analytical philosophy to frame and address normative questions raised by computing and computational systems.
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With former acting White House Office of Science and Technology Policy director, Alondra Nelson, Seth argued against a narrow technical approach to AI safety, calling instead for more work to be done on sociotechnical AI safety, that situates the risks posed by AI as a technical system in the context of the broader sociotechnical systems of which they are part.
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