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Jurgis Karpus
King's College London
  1.  29
    Nudging to Donate Organs: Do What You Like or Like What We Do?Sergio Beraldo & Jurgis Karpus - 2021 - Medicine, Health Care and Philosophy (3):329-340.
    An effective method to increase the number of potential cadaveric organ donors is to make people donors by default with the option to opt out. This non-coercive public policy tool to influence people’s choices is often justified on the basis of the as-judged-by-themselves principle: people are nudged into choosing what they themselves truly want. We review three often hypothesized reasons for why defaults work and argue that the as-judged-by-themselves principle may hold only in two of these cases. We specify further (...)
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  2. Team Reasoning: Theory and Evidence.Jurgis Karpus & Natalie Gold - 2017 - In Julian Kiverstein (ed.), The Routledge Handbook of Philosophy of the Social Mind. New York, USA: Routledge. pp. 400-417.
    The chapter reviews recent theoretical and empirical developments concerning the theory of team reasoning in game theoretic interactions.
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  3. Team Reasoning and a Measure of Mutual Advantage in Games.Jurgis Karpus & Mantas Radzvilas - 0201 - Economics and Philosophy 34 (1):1-30.
    The game theoretic notion of best-response reasoning is sometimes criticized when its application produces multiple solutions of games, some of which seem less compelling than others. The recent development of the theory of team reasoning addresses this by suggesting that interacting players in games may sometimes reason as members of a team – a group of individuals who act together in the attainment of some common goal. A number of properties have been suggested for team-reasoning decision-makers’ goals to satisfy, but (...)
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  4.  20
    Algorithm Exploitation: Humans Are Keen to Exploit Benevolent AI.Jurgis Karpus, Adrian Krüger, Julia Tovar Verba, Bahador Bahrami & Ophelia Deroy - 2021 - iScience 24 (6):102679.
    We cooperate with other people despite the risk of being exploited or hurt. If future artificial intelligence (AI) systems are benevolent and cooperative toward us, what will we do in return? Here we show that our cooperative dispositions are weaker when we interact with AI. In nine experiments, humans interacted with either another human or an AI agent in four classic social dilemma economic games and a newly designed game of Reciprocity that we introduce here. Contrary to the hypothesis that (...)
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