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  1. The Point of Blaming AI Systems.Hannah Altehenger & Leonhard Menges - 2024 - Journal of Ethics and Social Philosophy 27 (2).
    As Christian List (2021) has recently argued, the increasing arrival of powerful AI systems that operate autonomously in high-stakes contexts creates a need for “future-proofing” our regulatory frameworks, i.e., for reassessing them in the face of these developments. One core part of our regulatory frameworks that dominates our everyday moral interactions is blame. Therefore, “future-proofing” our extant regulatory frameworks in the face of the increasing arrival of powerful AI systems requires, among others things, that we ask whether it makes sense (...)
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  2. How AI Systems Can Be Blameworthy.Hannah Altehenger, Leonhard Menges & Peter Schulte - 2024 - Philosophia (4):1-24.
    AI systems, like self-driving cars, healthcare robots, or Autonomous Weapon Systems, already play an increasingly important role in our lives and will do so to an even greater extent in the near future. This raises a fundamental philosophical question: who is morally responsible when such systems cause unjustified harm? In the paper, we argue for the admittedly surprising claim that some of these systems can themselves be morally responsible for their conduct in an important and everyday sense of the term—the (...)
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  3.  87
    Self-control and the self.Hannah Altehenger - 2020 - Synthese 199 (1-2):2183-2198.
    Prima facie, it seems highly plausible to suppose that there is some kind of constitutive relationship between self-control and the self, i.e., that self-control is “control at the service of the self” or even “control by the self.” This belief is not only attractive from a pre-theoretical standpoint, but it also seems to be supported by theoretical reasons. In particular, there is a natural fit between a certain attractive approach to self-control—the so-called “divided mind approach”—and a certain well-established approach to (...)
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  4.  71
    The Mismatch Problem: Why Mele's Approach to the Puzzle of Synchronic Self‐control Does Not Succeed.Hannah Altehenger - 2021 - Pacific Philosophical Quarterly 102 (2):243-266.
    Most of us have had the experience of resisting our currently strongest desire, for example, resisting the desire to eat another cookie when eating another cookie is what we most want to do. The puzzle of synchronic self‐control, however, says that this is impossible: an agent cannot ever resist her currently strongest desire. The paper argues that one prominent solution to this puzzle – the solution offered by Al Mele – faces a serious ‘mismatch problem’, which ultimately undermines its plausibility. (...)
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  5.  70
    Too Much Self-Control?Hannah Altehenger - forthcoming - Erkenntnis.
    Although it seems commonsensical to say that one cannot merely have too little, but also too much self-control, the philosophical debate has largely focused on failures of self-control rather than its potential excesses. There are a few notable exceptions. But, by and large, the issue of having too much self-control has not received a lot of attention. This paper takes another careful look at the commonsensical position that it is possible to have too much self-control. One key insight that will (...)
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  6.  74
    Deliberative Agency, Self‐Control, and the Divided Mind.Hannah Altehenger - 2021 - Theoria 87 (3):542-558.
    According to a widely endorsed claim, intentional action is brought about by an agent’s desires in accordance with these desires’ respective motivational strength. As Jay Wallace has argued, though, this “hydraulic model” of the aetiology of intentional action has a serious flaw: it fails to leave room for genuine deliberative agency. Drawing on recent developments in the debate on self-control, the article argues that Wallace’s criticism can be addressed once we combine the hydraulic model with a so-called “divided mind” account (...)
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  7. Being Realistic about Reflective Equilibrium.Hannah Altehenger, Simon Gaus & Andreas Leonhard Menges - 2015 - Analysis 75 (3):514-522.
    In Being Realistic About Reasons,T.M. Scanlon develops a non-naturalistic realist account of normative reasons. A crucial part of that account is Scanlon’s contention that there is no deep epistemological problem for non-naturalistic realists, and that the method of reflective equilibrium suffices to explain the possibility of normative knowledge. In this critical notice we argue that this is not so: on a realist picture, normative knowledge presupposes a significant correlation between distinct entities, namely between normative beliefs and normative facts. This correlation (...)
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  8. Being realistic about reflective equilibrium.Hannah Altehenger, Simon Gaus & Leonhard Menges - 2015 - Analysis 75 (3):514–22.
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  9.  3
    How AI Systems Can Be Blameworthy.Hannah Altehenger, Leonhard Menges & Peter Schulte - 2024 - Philosophia 52 (4):1083-1106.
    AI systems, like self-driving cars, healthcare robots, or Autonomous Weapon Systems, already play an increasingly important role in our lives and will do so to an even greater extent in the near future. This raises a fundamental philosophical question: who is morally responsible when such systems cause unjustified harm? In the paper, we argue for the admittedly surprising claim that some of these systems can themselves be morally responsible for their conduct in an important and everyday sense of the term—the (...)
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