Effect of Confidence Indicators on Trust in AI-Generated Profiles

Tommy Bruzzese, Irena Gao, Griffin Dietz, Christina Ding, Alyssa B. Romanos
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引用次数: 5

Abstract

Artificial Intelligence (AI) is increasingly augmenting and generating online content, but research suggests that users distrust content which they believe to be AI-generated. In this paper, we study whether introducing a confidence indicator, a text rating of an algorithm's confidence in its source data alongside rationale for why the data is more or less trustworthy, affects this distrust in Airbnb host profiles believed to be computer-generated. Our results indicate that a low-confidence indicator decreases participant trust in the rental host, but high-confidence indicators have no significant impact on trust. These findings suggest that user trust of AI-generated content can be negatively, but not positively, affected by a confidence indicator.
人工智能生成档案中信心指标对信任的影响
人工智能(AI)正在越来越多地增加和生成在线内容,但研究表明,用户不信任他们认为是人工智能生成的内容。在本文中,我们研究了引入一个置信度指标,即算法对其源数据的置信度的文本评级,以及为什么数据或多或少值得信赖的基本原理,是否会影响人们对被认为是计算机生成的Airbnb主机配置文件的不信任。研究结果表明,低置信度指标降低了参与者对租赁房东的信任,而高置信度指标对信任没有显著影响。这些发现表明,用户对人工智能生成内容的信任可能会受到信心指标的负面影响,而不是正面影响。
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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