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  1. Is Explainable AI Responsible AI?Isaac Taylor - forthcoming - AI and Society.
    When artificial intelligence (AI) is used to make high-stakes decisions, some worry that this will create a morally troubling responsibility gap—that is, a situation in which nobody is morally responsible for the actions and outcomes that result. Since the responsibility gap might be thought to result from individuals lacking knowledge of the future behavior of AI systems, it can be and has been suggested that deploying explainable artificial intelligence (XAI) techniques will help us to avoid it. These techniques provide humans (...)
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  • Autonomous Weapon Systems: A Clarification.Nathan Gabriel Wood - 2023 - Journal of Military Ethics 22 (1):18-32.
    Due to advances in military technology, there has been an outpouring of research on what are known as autonomous weapon systems (AWS). However, it is common in this literature for arguments to be made without first making clear exactly what definitions one is employing, with the detrimental effect that authors may speak past one another or even miss the targets of their arguments. In this article I examine the U.S. Department of Defense and International Committee of the Red Cross definitions (...)
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  • When to Fill Responsibility Gaps: A Proposal.Michael Da Silva - forthcoming - Journal of Value Inquiry:1-26.
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  • Exposing, Reversing, and Inheriting Crimes as Traumas from the Neurosciences to Epigenetics: Why Criminal Law Cannot Yet Afford A(nother) Biology-induced Overhaul.Riccardo Vecellio Segate - 2024 - Criminal Justice Ethics 43 (2):146-193.
    In criminal proceedings, offenders are sentenced based on doctrines of culpability and punishment that theorize why they are guilty and why they should be punished. Throughout human history, these doctrines have largely been grounded in legal-policy constructions around retribution, safety, deterrence, and closure, mostly derived from folk psychology, natural philosophy, sociocultural expectations, public-order narratives, and common sense. On these premises, justice systems have long been designed to account for crimes and their underlying intent, with experience and probabilistic assumptions shaping theoretical (...)
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