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Toward a Theory of Justice for Artificial Intelligence
Daedalus ( IF 1.340 ) Pub Date : 2022-01-01 , DOI: 10.1162/daed_a_01911
Iason Gabriel

Abstract This essay explores the relationship between artificial intelligence and principles of distributive justice. Drawing upon the political philosophy of John Rawls, it holds that the basic structure of society should be understood as a composite of sociotechnical systems, and that the operation of these systems is increasingly shaped and influenced by AI. Consequently, egalitarian norms of justice apply to the technology when it is deployed in these contexts. These norms entail that the relevant AI systems must meet a certain standard of public justification, support citizens' rights, and promote substantively fair outcomes, something that requires particular attention to the impact they have on the worst-off members of society.

中文翻译:

迈向人工智能的正义理论

摘要 本文探讨了人工智能与分配正义原则之间的关系。借鉴约翰·罗尔斯的政治哲学,它认为社会的基本结构应该被理解为社会技术系统的组合,并且这些系统的运行越来越受到人工智能的塑造和影响。因此,当在这些环境中部署技术时,平等主义的正义规范适用于该技术。这些规范要求相关的人工智能系统必须满足一定的公共正当性标准,支持公民的权利,并促进实质上公平的结果,这需要特别注意它们对社会最贫困成员的影响。
更新日期:2022-01-01
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