One-shot anonymous unselfishness in economic games is commonly explained by social preferences, which assume that people care about the monetary payoffs of others. However, during the last ten years, research has shown that different types of unselfish behaviour, including cooperation, altruism, truth-telling, altruistic punishment, and trustworthiness are in fact better explained by preferences for following one's own personal norms - internal standards about what is right or wrong in a given situation. Beyond better organising various forms of unselfish behaviour, this moral preference hypothesis has recently also been used to increase charitable donations, simply by means of interventions that make the morality of an action salient. Here we review experimental and theoretical work dedicated to this rapidly growing field of research, and in doing so we outline mathematical foundations for moral preferences that can be used in future models to better understand selfless human actions and to adjust policies accordingly. These foundations can also be used by artificial intelligence to better navigate the complex landscape of human morality.
翻译:社会偏好通常可以解释经济游戏中一发匿名无私现象,这种偏好通常由社会偏好来解释,社会偏好假定人们关心他人的金钱报酬。然而,在过去十年里,研究显示,不同类型的非自私行为,包括合作、利他主义、真相说明、利他主义惩罚和信任性,实际上,偏好遵循自己的个人规范 — — 在特定情况下什么是对什么是错的内部标准。除了更好地组织各种形式的非自私行为外,这种道德偏好假设最近还被用来增加慈善捐款,仅仅通过干预,突出行动道德。 在这里,我们回顾专门为这一迅速增长的研究领域开展的实验和理论工作,我们为此概述了可用于未来模式的道德偏好的数学基础,以便更好地理解人类的无私行为,并据此调整政策。这些基础还可以被人工智能用来更好地掌握复杂的人类道德景观。