Social Status and the Moral Acceptance of Artificial Intelligence

IF 2.7 2区 社会学 Q1 SOCIOLOGY
Patrick Schenk, Vanessa A. Müller, Luca Keiser
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引用次数: 0

Abstract

The morality of artificial intelligence (AI) has become a contentious topic in academic and public debates. We argue that AIs moral acceptance depends not only on its ability to accomplish a task in line with moral norms but also on the social status attributed to AI. Agent type (AI vs. computer program vs. human), gender, and organizational membership impact moral permissibility. In a factorial survey experiment, 578 participants rated the moral acceptability of agents performing a task (e.g., cancer diagnostics). We find that using AI is judged less morally acceptable than employing human agents. AI used in high-status organizations is judged more morally acceptable than in low-status organizations. No differences were found between computer programs and AI. Neither anthropomorphic nor gender framing had an effect. Thus, human agents in high-status organizations receive a moral surplus purely based on their structural position in a cultural status hierarchy regardless of their actual performance.
社会地位与人工智能的道德接受度
人工智能(AI)的道德问题已成为学术界和公众争论的一个有争议的话题。我们认为,人工智能在道德上是否被接受,不仅取决于其完成符合道德规范的任务的能力,还取决于赋予人工智能的社会地位。人工智能的类型(人工智能 vs. 计算机程序 vs. 人类)、性别和组织成员身份都会影响道德许可度。在一项因子调查实验中,578 名参与者对执行任务(如癌症诊断)的代理的道德可接受性进行了评分。我们发现,与使用人类代理相比,使用人工智能在道德上的可接受性较低。在地位较高的组织中使用人工智能比在地位较低的组织中使用人工智能在道德上更容易被接受。计算机程序和人工智能之间没有差异。拟人化和性别框架都没有影响。因此,高地位组织中的人类代理获得道德盈余完全是基于他们在文化地位等级中的结构性地位,而与他们的实际表现无关。
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
Sociological Science
Sociological Science Social Sciences-Social Sciences (all)
CiteScore
4.90
自引率
2.90%
发文量
13
审稿时长
6 weeks
期刊介绍: Sociological Science is an open-access, online, peer-reviewed, international journal for social scientists committed to advancing a general understanding of social processes. Sociological Science welcomes original research and commentary from all subfields of sociology, and does not privilege any particular theoretical or methodological approach.
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