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  1. Of trolleys and self-driving cars: What machine ethicists can and cannot learn from trolleyology.Peter Königs - 2023 - Utilitas 35 (1):70-87.
    Crashes involving self-driving cars at least superficially resemble trolley dilemmas. This article discusses what lessons machine ethicists working on the ethics of self-driving cars can learn from trolleyology. The article proceeds by providing an account of the trolley problem as a paradox and by distinguishing two types of solutions to the trolley problem. According to an optimistic solution, our case intuitions about trolley dilemmas are responding to morally relevant differences. The pessimistic solution denies that this is the case. An optimistic (...)
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  • On Hedden's proof that machine learning fairness metrics are flawed.Anders Søgaard, Klemens Kappel & Thor Grünbaum - forthcoming - Inquiry: An Interdisciplinary Journal of Philosophy.
    1. Fairness is about the just distribution of society's resources, and in ML, the main resource being distributed is model performance, e.g. the translation quality produced by machine translation...
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