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Artificial intelligence in communication impacts language and social relationships

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, a...

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Autores principales: Hohenstein, Jess, Kizilcec, Rene F., DiFranzo, Dominic, Aghajari, Zhila, Mieczkowski, Hannah, Levy, Karen, Naaman, Mor, Hancock, Jeffrey, Jung, Malte F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10073210/
https://www.ncbi.nlm.nih.gov/pubmed/37015964
http://dx.doi.org/10.1038/s41598-023-30938-9
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author Hohenstein, Jess
Kizilcec, Rene F.
DiFranzo, Dominic
Aghajari, Zhila
Mieczkowski, Hannah
Levy, Karen
Naaman, Mor
Hancock, Jeffrey
Jung, Malte F.
author_facet Hohenstein, Jess
Kizilcec, Rene F.
DiFranzo, Dominic
Aghajari, Zhila
Mieczkowski, Hannah
Levy, Karen
Naaman, Mor
Hancock, Jeffrey
Jung, Malte F.
author_sort Hohenstein, Jess
collection PubMed
description 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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spelling pubmed-100732102023-04-06 Artificial intelligence in communication impacts language and social relationships Hohenstein, Jess Kizilcec, Rene F. DiFranzo, Dominic Aghajari, Zhila Mieczkowski, Hannah Levy, Karen Naaman, Mor Hancock, Jeffrey Jung, Malte F. Sci Rep Article 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. Nature Publishing Group UK 2023-04-04 /pmc/articles/PMC10073210/ /pubmed/37015964 http://dx.doi.org/10.1038/s41598-023-30938-9 Text en © The Author(s) 2023, corrected publication 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Hohenstein, Jess
Kizilcec, Rene F.
DiFranzo, Dominic
Aghajari, Zhila
Mieczkowski, Hannah
Levy, Karen
Naaman, Mor
Hancock, Jeffrey
Jung, Malte F.
Artificial intelligence in communication impacts language and social relationships
title Artificial intelligence in communication impacts language and social relationships
title_full Artificial intelligence in communication impacts language and social relationships
title_fullStr Artificial intelligence in communication impacts language and social relationships
title_full_unstemmed Artificial intelligence in communication impacts language and social relationships
title_short Artificial intelligence in communication impacts language and social relationships
title_sort artificial intelligence in communication impacts language and social relationships
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10073210/
https://www.ncbi.nlm.nih.gov/pubmed/37015964
http://dx.doi.org/10.1038/s41598-023-30938-9
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