人际交往
计算机科学
对话
感知
人际关系
社会关系
社会交往
人工智能
心理学
社会心理学
沟通
神经科学
作者
Jess Hohenstein,René F. Kizilcec,Dominic DiFranzo,Zhila Aghajari,Hannah Mieczkowski,Karen Levy,Mor Naaman,Jeffrey T. Hancock,Malte Jung
标识
DOI:10.1038/s41598-023-30938-9
摘要
Artificial intelligence (AI) is already widely used in daily communication, but despite concerns about AI's negative effects on society the social consequences of using it to communicate remain largely unexplored. We investigate the social consequences of one of the most pervasive AI applications, algorithmic response suggestions ("smart replies"), which are used to send billions of messages each day. Two randomized experiments provide evidence that these types of algorithmic recommender systems change how people interact with and perceive one another in both pro-social and anti-social ways. We find that using algorithmic responses changes language and social relationships. More specifically, it increases communication speed, use of positive emotional language, and conversation partners evaluate each other as closer and more cooperative. However, consistent with common assumptions about the adverse effects of AI, people are evaluated more negatively if they are suspected to be using algorithmic responses. Thus, even though AI can increase the speed of communication and improve interpersonal perceptions, the prevailing anti-social connotations of AI undermine these potential benefits if used overtly.
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