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Abstract
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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Details
1 Cornell University, Department of Information Science, Ithaca, USA (GRID:grid.5386.8) (ISNI:0000 0004 1936 877X)
2 Lehigh University, Department of Computer Science and Engineering, Bethlehem, USA (GRID:grid.259029.5) (ISNI:0000 0004 1936 746X)
3 Stanford University, Department of Communication, Stanford, USA (GRID:grid.168010.e) (ISNI:0000 0004 1936 8956)
4 Cornell Tech, New York, USA (GRID:grid.5386.8)




