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  1. Moral Luck and Deviant Causation.Sara Bernstein - 2019 - Midwest Studies in Philosophy 43 (1):151-161.
    This paper discusses a puzzling tension in attributions of moral responsibility in cases of resultant moral luck: we seem to hold agents fully morally responsible for unlucky outcomes, but less-than-fully-responsible for unlucky outcomes brought about differently than intended. This tension cannot be easily discharged or explained, but it does shed light on a famous puzzle about causation and responsibility, the Thirsty Traveler.
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  • Degrees of influence and the problem of pre-emption.Cei Maslen - 2004 - Australasian Journal of Philosophy 82 (4):577 – 594.
    This paper is an investigation into the notion of degree of influence, and its application to the problem of pre-emption. In 'Causation as Influence', Lewis presented a new account of causation under determinism and some new observations on the problem of pre-emption. He claimed that, in cases of pre-emption, the pre-empting cause is much more of a cause than its pre-empted alternative; it has much more influence. I begin by trying to make sense of the notion of degree of influence. (...)
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  • The steering thrust phenomenon in action-directed-pragmatics.Igal Kvart - 2020 - Synthese 198 (Suppl 7):1639-1671.
    In this paper I explore the pragmatic phenomenon of Steering Thrust, and specifically how speakers steer others to action and the mechanism that underpins how they so steer. In addition to opening the door to a rich pragmatic domain, understanding the pragmatics of various locutions and assertions in deliberative action-oriented contexts resolves the puzzle of bank-type cases by a pragmatic treatment of the puzzle, and undermines the motivation to seek a semantic remedy, such as via Pragmatic Encroachment. When speakers steer (...)
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  • Responsibility Internalism and Responsibility for AI.Huzeyfe Demirtas - 2023 - Dissertation, Syracuse University
    I argue for responsibility internalism. That is, moral responsibility (i.e., accountability, or being apt for praise or blame) depends only on factors internal to agents. Employing this view, I also argue that no one is responsible for what AI does but this isn’t morally problematic in a way that counts against developing or using AI. Responsibility is grounded in three potential conditions: the control (or freedom) condition, the epistemic (or awareness) condition, and the causal responsibility condition (or consequences). I argue (...)
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