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  1. Interdisciplinary Confusion and Resolution in the Context of Moral Machines.Jakob Stenseke - 2022 - Science and Engineering Ethics 28 (3):1-17.
    Recent advancements in artificial intelligence have fueled widespread academic discourse on the ethics of AI within and across a diverse set of disciplines. One notable subfield of AI ethics is machine ethics, which seeks to implement ethical considerations into AI systems. However, since different research efforts within machine ethics have discipline-specific concepts, practices, and goals, the resulting body of work is pestered with conflict and confusion as opposed to fruitful synergies. The aim of this paper is to explore ways to (...)
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  • Embedding AI in society: ethics, policy, governance, and impacts.Michael Pflanzer, Veljko Dubljević, William A. Bauer, Darby Orcutt, George List & Munindar P. Singh - 2023 - AI and Society 38 (4):1267-1271.
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  • Artificial virtuous agents in a multi-agent tragedy of the commons.Jakob Stenseke - 2022 - AI and Society:1-18.
    Although virtue ethics has repeatedly been proposed as a suitable framework for the development of artificial moral agents, it has been proven difficult to approach from a computational perspective. In this work, we present the first technical implementation of artificial virtuous agents in moral simulations. First, we review previous conceptual and technical work in artificial virtue ethics and describe a functionalistic path to AVAs based on dispositional virtues, bottom-up learning, and top-down eudaimonic reward. We then provide the details of a (...)
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  • On the computational complexity of ethics: moral tractability for minds and machines.Jakob Stenseke - 2024 - Artificial Intelligence Review 57 (105):90.
    Why should moral philosophers, moral psychologists, and machine ethicists care about computational complexity? Debates on whether artificial intelligence (AI) can or should be used to solve problems in ethical domains have mainly been driven by what AI can or cannot do in terms of human capacities. In this paper, we tackle the problem from the other end by exploring what kind of moral machines are possible based on what computational systems can or cannot do. To do so, we analyze normative (...)
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