The Moral Psychology of Artificial Intelligence

IF 4.4 2区 化学 Q2 MATERIALS SCIENCE, MULTIDISCIPLINARY
A. Ladak, Steve Loughnan, Matti Wilks
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引用次数: 0

Abstract

Artificial intelligences (AIs), although often perceived as mere tools, have increasingly advanced cognitive and social capacities. In response, psychologists are studying people’s perceptions of AIs as moral agents (entities that can do right and wrong) and moral patients (entities that can be targets of right and wrong actions). This article reviews the extent to which people see AIs as moral agents and patients and how they feel about such AIs. We also examine how characteristics about ourselves and the AIs affect attributions of moral agency and patiency. We find multiple factors that contribute to attributions of moral agency and patiency in AIs, some of which overlap with attributions of morality to humans (e.g., mind perception) and some that are unique (e.g., sci-fi fan identity). We identify several future directions, including studying agency and patiency attributions to the latest generation of chatbots and to likely more advanced future AIs that are being rapidly developed.
人工智能的道德心理学
人工智能(AIs)虽然常常被视为纯粹的工具,但其认知能力和社会能力却越来越先进。为此,心理学家们正在研究人们对人工智能作为道德代理人(能做正确和错误事情的实体)和道德病人(能成为正确和错误行为目标的实体)的看法。本文回顾了人们将人工智能视为道德代理人和病人的程度,以及他们对此类人工智能的感受。我们还研究了我们自己和人工智能的特征是如何影响道德代理人和病人的归属的。我们发现有多种因素会影响人工智能的道德代理和耐心归因,其中有些因素与人类的道德归因重叠(如心灵感知),有些因素则独一无二(如科幻迷身份)。我们确定了几个未来的研究方向,包括研究最新一代聊天机器人以及正在快速发展的更先进的未来人工智能的代理和耐心归因。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
7.20
自引率
6.00%
发文量
810
期刊介绍: ACS Applied Polymer Materials is an interdisciplinary journal publishing original research covering all aspects of engineering, chemistry, physics, and biology relevant to applications of polymers. The journal is devoted to reports of new and original experimental and theoretical research of an applied nature that integrates fundamental knowledge in the areas of materials, engineering, physics, bioscience, polymer science and chemistry into important polymer applications. The journal is specifically interested in work that addresses relationships among structure, processing, morphology, chemistry, properties, and function as well as work that provide insights into mechanisms critical to the performance of the polymer for applications.
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