Cultural Perspectives and Expectations for Generative AI: A Global Survey Approach
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arXiv
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| Autores principales: | , , , , , , , |
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| Formato: | Preprint |
| Publicado: |
2026
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| Materias: | |
| Acceso en línea: | |
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| _version_ | 1866918374038044672 |
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| author | van Liemt, Erin Shelby, Renee Smart, Andrew Kumbale, Sinchana Zhang, Richard Dixit, Neha Rashid, Qazi Mamunur Smith-Loud, Jamila |
| author_facet | van Liemt, Erin Shelby, Renee Smart, Andrew Kumbale, Sinchana Zhang, Richard Dixit, Neha Rashid, Qazi Mamunur Smith-Loud, Jamila |
| contents | There is a lack of empirical evidence about global attitudes around whether and how GenAI should represent cultures. This paper assesses understandings and beliefs about culture as it relates to GenAI from a large-scale global survey. We gathered data about what culture means to different groups, and about how GenAI should approach the representation of cultural artifacts, concepts, or values. We distill working definitions of culture directly from these communities to build an understanding of its conceptual complexities and how they relate to representations in Generative AI. We survey from across parts of Europe, North and South America, Asia, and Africa. We conclude with a set of recommendations for Culture and GenAI development. These include participatory approaches, prioritizing specific cultural dimensions beyond geography, such as religion and tradition, and a sensitivity framework for addressing cultural ``redlines''. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2603_05723 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Cultural Perspectives and Expectations for Generative AI: A Global Survey Approach van Liemt, Erin Shelby, Renee Smart, Andrew Kumbale, Sinchana Zhang, Richard Dixit, Neha Rashid, Qazi Mamunur Smith-Loud, Jamila Computation and Language Artificial Intelligence There is a lack of empirical evidence about global attitudes around whether and how GenAI should represent cultures. This paper assesses understandings and beliefs about culture as it relates to GenAI from a large-scale global survey. We gathered data about what culture means to different groups, and about how GenAI should approach the representation of cultural artifacts, concepts, or values. We distill working definitions of culture directly from these communities to build an understanding of its conceptual complexities and how they relate to representations in Generative AI. We survey from across parts of Europe, North and South America, Asia, and Africa. We conclude with a set of recommendations for Culture and GenAI development. These include participatory approaches, prioritizing specific cultural dimensions beyond geography, such as religion and tradition, and a sensitivity framework for addressing cultural ``redlines''. |
| title | Cultural Perspectives and Expectations for Generative AI: A Global Survey Approach |
| topic | Computation and Language Artificial Intelligence |
| url | https://arxiv.org/abs/2603.05723 |