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  1. Why AI May Undermine Phronesis and What to Do about It.Cheng-Hung Tsai & Hsiu-lin Ku - forthcoming - AI and Ethics.
    Phronesis, or practical wisdom, is a capacity the possession of which enables one to make good practical judgments and thus fulfill the distinctive function of human beings. Nir Eisikovits and Dan Feldman convincingly argue that this capacity may be undermined by statistical machine-learning-based AI. The critic questions: why should we worry that AI undermines phronesis? Why can’t we epistemically defer to AI, especially when it is superintelligent? Eisikovits and Feldman acknowledge such objection but do not consider it seriously. In this (...)
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  • Large language models and their big bullshit potential.Sarah A. Fisher - 2024 - Ethics and Information Technology 26 (4):1-8.
    Newly powerful large language models have burst onto the scene, with applications across a wide range of functions. We can now expect to encounter their outputs at rapidly increasing volumes and frequencies. Some commentators claim that large language models are bullshitting, generating convincing output without regard for the truth. If correct, that would make large language models distinctively dangerous discourse participants. Bullshitters not only undermine the norm of truthfulness (by saying false things) but the normative status of truth itself (by (...)
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  • Digital Doppelgängers and Lifespan Extension: What Matters?Samuel Iglesias, Brian D. Earp, Cristina Voinea, Sebastian Porsdam Mann, Anda Zahiu, Nancy S. Jecker & Julian Savulescu - forthcoming - American Journal of Bioethics:1-16.
    There is an ongoing debate about the ethics of research on lifespan extension: roughly, using medical technologies to extend biological human lives beyond the current “natural” limit of about 120 years. At the same time, there is an exploding interest in the use of artificial intelligence (AI) to create “digital twins” of persons, for example by fine-tuning large language models on data specific to particular individuals. In this paper, we consider whether digital twins (or digital doppelgängers, as we refer to (...)
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  • Air Canada’s chatbot illustrates persistent agency and responsibility gap problems for AI.Joshua L. M. Brand - forthcoming - AI and Society:1-3.
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