Humor as a window into generative AI bias
Abstract A preregistered audit of 600 images by generative AI across 150 different prompts explores the link between humor and discrimination in consumer-facing AI solutions. When ChatGPT updates images to make them “funnier”, the prevalence of stereotyped groups changes. While stereotyped groups fo...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2025-01-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-024-83384-6 |
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| _version_ | 1841544784710205440 |
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| author | Roger Saumure Julian De Freitas Stefano Puntoni |
| author_facet | Roger Saumure Julian De Freitas Stefano Puntoni |
| author_sort | Roger Saumure |
| collection | DOAJ |
| description | Abstract A preregistered audit of 600 images by generative AI across 150 different prompts explores the link between humor and discrimination in consumer-facing AI solutions. When ChatGPT updates images to make them “funnier”, the prevalence of stereotyped groups changes. While stereotyped groups for politically sensitive traits (i.e., race and gender) are less likely to be represented after making an image funnier, stereotyped groups for less politically sensitive traits (i.e., older, visually impaired, and people with high body weight groups) are more likely to be represented. |
| format | Article |
| id | doaj-art-dec2927557e04031880e9d6c7ce65422 |
| institution | Kabale University |
| issn | 2045-2322 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj-art-dec2927557e04031880e9d6c7ce654222025-01-12T12:19:21ZengNature PortfolioScientific Reports2045-23222025-01-011511710.1038/s41598-024-83384-6Humor as a window into generative AI biasRoger Saumure0Julian De Freitas1Stefano Puntoni2Department of Marketing, The Wharton School, University of PennsylvaniaDepartment of Marketing, Harvard Business School, Harvard UniversityDepartment of Marketing, The Wharton School, University of PennsylvaniaAbstract A preregistered audit of 600 images by generative AI across 150 different prompts explores the link between humor and discrimination in consumer-facing AI solutions. When ChatGPT updates images to make them “funnier”, the prevalence of stereotyped groups changes. While stereotyped groups for politically sensitive traits (i.e., race and gender) are less likely to be represented after making an image funnier, stereotyped groups for less politically sensitive traits (i.e., older, visually impaired, and people with high body weight groups) are more likely to be represented.https://doi.org/10.1038/s41598-024-83384-6 |
| spellingShingle | Roger Saumure Julian De Freitas Stefano Puntoni Humor as a window into generative AI bias Scientific Reports |
| title | Humor as a window into generative AI bias |
| title_full | Humor as a window into generative AI bias |
| title_fullStr | Humor as a window into generative AI bias |
| title_full_unstemmed | Humor as a window into generative AI bias |
| title_short | Humor as a window into generative AI bias |
| title_sort | humor as a window into generative ai bias |
| url | https://doi.org/10.1038/s41598-024-83384-6 |
| work_keys_str_mv | AT rogersaumure humorasawindowintogenerativeaibias AT juliandefreitas humorasawindowintogenerativeaibias AT stefanopuntoni humorasawindowintogenerativeaibias |