Seth shares some lessons from a conversation with a rogue AI about what imbues humans with moral worth.
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Seth features on a new podcast episode about effective altruism by Hi-Phi Nation.
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Nick Schuster was interviewed by Cosmos Magazine's Petra Stock for her article "Explainer: Unethical AI and what can be done about it," published 18 April 2023.
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On 11 April 2023 Nick Schuster presented his paper "Moral Expertise and Crowdsourcing for Machine Ethics" (co-authored by Daniel Kilov) for the Computing Ethics Group at the University of Wisconsin Madison.
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On 8 April 2023 Nick Schuster presented his paper "A Deontological Model of Moral Skill" at the American Philosophical Association's 2023 Pacific Division Meeting in San Francisco.
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Seth features on a new podcast episode about the risks of AI by Science Vs.
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Michael Barnes was a panellist at a session on AI Ethics at the Clayton-Utz Government In-House Counsel Day. The session, titled “Navigating the Ethics of AI in Public Governance,” was moderated by Professor Genevieve Bell (Director of the School of Cybernetics, ANU), and included Dr Will Bateman (College of Law, ANU), and Dr Jenny L. Davis (School of Sociology at the ANU).
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Josh Glancy of the Sunday Times has written an in-depth profile on Oxford's Institute for Ethics in AI, in which he discusses the ethical issues raised by AI with members of the institute led by John Tasioulas, including a brief quote from Seth.
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On January 26th and 27th, Professor Seth Lazar gave the Tanner Lectures on AI and Human Values, at Stanford University. The event was co-hosted by Stanford’s Institute for Human-Centered AI, and the McCoy Family Center for Ethics in Society.
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Seth will be giving several talks at the University of Oxford and the University of Geneva in January and February.
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Scholars from around the world gathered for the first official Philosophy, AI, and Society (PAIS) Workshop at Stanford University on January 27th and 28th. The program featured 24 presentations on a wide variety of topics including online privacy, speech muffling on digital platforms, fairness metrics for algorithms, the impact of video deepfakes on evidence, moral self-correction in large langue models, the ethics of future porn, and many more.
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