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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...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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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. |
format | Online Article Text |
id | pubmed-10073210 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
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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