信任人工智能代理的社会认同:来自实验室和在线实验的证据

IF 2.5 3区 经济学 Q2 ECONOMICS
Yanqi Sun, Cheng Xu, Hao Xu
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引用次数: 0

摘要

本文探讨了人类对人工智能(AI)的信任,重点是社会分类(内群与外群)和人工智能与人类相似性的影响,通过两项预先登记的研究,每项研究有 160 名参与者。第一项研究是在中国进行的实验室实验,第二项研究是在美国进行的在线实验。这两项研究都采用了信任游戏的方式,在四种情况下评估信任度:内群-类人型人工智能、内群-非类人型人工智能、外群-类人型人工智能和外群-非类人型人工智能。结果表明,群内人工智能和仿人人工智能的信任度更高,且具有统计学意义。研究采用了混合设计方差分析来分析数据,结果显示了显著的主效应和交互效应。第二项研究还发现情感联系是信任的中介因素,这对医疗保健和自动驾驶交通等对信任至关重要的领域的人工智能设计具有重要意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Social identity in trusting artificial intelligence agents: Evidence from lab and online experiments

This paper explores human trust in artificial intelligence (AI), focusing on the effects of social categorization (ingroup vs. outgroup) and AI human-likeness through two pre-registered studies involving 160 participants each. The first study, a lab experiment in China, and the second, an online experiment representative of the United States, both utilized a trust game to assess trust across four conditions: ingroup-humanoid AI, ingroup-non-humanoid AI, outgroup-humanoid AI, and outgroup-non-humanoid AI. Results indicated higher trust for ingroup and humanoid AIs, with statistical significance. Mixed-design ANOVA was used to analyze the data, revealing significant main effects and interactions. The second study also identified an emotional connection as a mediator in trust, suggesting significant design implications for AI in trust-critical sectors like healthcare and autonomous transportation.

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来源期刊
CiteScore
1.40
自引率
18.20%
发文量
242
期刊介绍: Managerial and Decision Economics will publish articles applying economic reasoning to managerial decision-making and management strategy.Management strategy concerns practical decisions that managers face about how to compete, how to succeed, and how to organize to achieve their goals. Economic thinking and analysis provides a critical foundation for strategic decision-making across a variety of dimensions. For example, economic insights may help in determining which activities to outsource and which to perfom internally. They can help unravel questions regarding what drives performance differences among firms and what allows these differences to persist. They can contribute to an appreciation of how industries, organizations, and capabilities evolve.
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