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Artificial Intelligence and Declined Guilt: Retailing Morality Comparison Between Human and AI
Several technological developments, such as self-service technologies and artificial intelligence (AI), are disrupting the retailing industry by changing consumption and purchase habits and the overall retail experience. Although AI represents extraordinary opportunities for businesses, companies mu...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Netherlands
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8853322/ https://www.ncbi.nlm.nih.gov/pubmed/35194275 http://dx.doi.org/10.1007/s10551-022-05056-7 |
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author | Giroux, Marilyn Kim, Jungkeun Lee, Jacob C. Park, Jongwon |
author_facet | Giroux, Marilyn Kim, Jungkeun Lee, Jacob C. Park, Jongwon |
author_sort | Giroux, Marilyn |
collection | PubMed |
description | Several technological developments, such as self-service technologies and artificial intelligence (AI), are disrupting the retailing industry by changing consumption and purchase habits and the overall retail experience. Although AI represents extraordinary opportunities for businesses, companies must avoid the dangers and risks associated with the adoption of such systems. Integrating perspectives from emerging research on AI, morality of machines, and norm activation, we examine how individuals morally behave toward AI agents and self-service machines. Across three studies, we demonstrate that consumers’ moral concerns and behaviors differ when interacting with technologies versus humans. We show that moral intention (intention to report an error) is less likely to emerge for AI checkout and self-checkout machines compared with human checkout. In addition, moral intention decreases as people consider the machine less humanlike. We further document that the decline in morality is caused by less guilt displayed toward new technologies. The non-human nature of the interaction evokes a decreased feeling of guilt and ultimately reduces moral behavior. These findings offer insights into how technological developments influence consumer behaviors and provide guidance for businesses and retailers in understanding moral intentions related to the different types of interactions in a shopping environment. |
format | Online Article Text |
id | pubmed-8853322 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer Netherlands |
record_format | MEDLINE/PubMed |
spelling | pubmed-88533222022-02-18 Artificial Intelligence and Declined Guilt: Retailing Morality Comparison Between Human and AI Giroux, Marilyn Kim, Jungkeun Lee, Jacob C. Park, Jongwon J Bus Ethics Original Paper Several technological developments, such as self-service technologies and artificial intelligence (AI), are disrupting the retailing industry by changing consumption and purchase habits and the overall retail experience. Although AI represents extraordinary opportunities for businesses, companies must avoid the dangers and risks associated with the adoption of such systems. Integrating perspectives from emerging research on AI, morality of machines, and norm activation, we examine how individuals morally behave toward AI agents and self-service machines. Across three studies, we demonstrate that consumers’ moral concerns and behaviors differ when interacting with technologies versus humans. We show that moral intention (intention to report an error) is less likely to emerge for AI checkout and self-checkout machines compared with human checkout. In addition, moral intention decreases as people consider the machine less humanlike. We further document that the decline in morality is caused by less guilt displayed toward new technologies. The non-human nature of the interaction evokes a decreased feeling of guilt and ultimately reduces moral behavior. These findings offer insights into how technological developments influence consumer behaviors and provide guidance for businesses and retailers in understanding moral intentions related to the different types of interactions in a shopping environment. Springer Netherlands 2022-02-12 2022 /pmc/articles/PMC8853322/ /pubmed/35194275 http://dx.doi.org/10.1007/s10551-022-05056-7 Text en © The Author(s) 2022 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 | Original Paper Giroux, Marilyn Kim, Jungkeun Lee, Jacob C. Park, Jongwon Artificial Intelligence and Declined Guilt: Retailing Morality Comparison Between Human and AI |
title | Artificial Intelligence and Declined Guilt: Retailing Morality Comparison Between Human and AI |
title_full | Artificial Intelligence and Declined Guilt: Retailing Morality Comparison Between Human and AI |
title_fullStr | Artificial Intelligence and Declined Guilt: Retailing Morality Comparison Between Human and AI |
title_full_unstemmed | Artificial Intelligence and Declined Guilt: Retailing Morality Comparison Between Human and AI |
title_short | Artificial Intelligence and Declined Guilt: Retailing Morality Comparison Between Human and AI |
title_sort | artificial intelligence and declined guilt: retailing morality comparison between human and ai |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8853322/ https://www.ncbi.nlm.nih.gov/pubmed/35194275 http://dx.doi.org/10.1007/s10551-022-05056-7 |
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