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Culture machines

  • Rodney H. Jones EMAIL logo
Published/Copyright: August 16, 2024
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Abstract

This paper discusses the way the concept of culture is discursively constructed by large language models that are trained on massive collections of cultural artefacts and designed to produce probabilistic representations of culture based on this training data. It makes the argument that, no matter how ‘diverse’ their training data is, large language models will always be prone to stereotyping and oversimplification because of the mathematical models that underpin their operations. Efforts to build ‘guardrails’ into systems to reduce their tendency to stereotype can often result in the opposite problem, with issues around culture and ethnicity being ‘invisiblised’. To illustrate this, examples are provided of the stereotypical linguistic styles and cultural attitudes models produce when asked to portray different kinds of ‘persona’. The tendency of large language models to gravitate towards cultural and linguistic generalities is contrasted with trends in intercultural communication towards more fluid, socially situated understandings of interculturality, and implications for the future of cultural representation are discussed.

Keywords: AI; stereotypes; race; culture

Corresponding author: Rodney H. Jones, University of Reading, Reading, UK, E-mail:

References

Adorno, Theodor W. & Max Horkheimer. 2016. Dialectic of enlightenment. London: Verso.Search in Google Scholar

Alenichev, Arsenii, Patricia Kingori & Koen Peeters Grietens. 2023. Reflections before the storm: The AI reproduction of biased imagery in global health visuals. Lancet Global Health 11(10). e1496–98. https://doi.org/10.1016/s2214-109x(23)00329-7.Search in Google Scholar

Bender, Emily M., Timnit Gebru, Angelina McMillan-Major & Shmargaret Shmitchell. 2021. On the dangers of stochastic parrots: Can language models be too big? In Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency, FAccT ’21, 610–623. New York: Association for Computing Machinery.10.1145/3442188.3445922Search in Google Scholar

Benjamin, Ruha. 2019. Race after technology: Abolitionist tools for the new Jim Code. Cambridge, UK; Medford, MA: Polity.Search in Google Scholar

Bjork, Collin. 2023. ChatGPT threatens language diversity. More needs to be done to protect our differences in the age of AI. The Conversation. http://theconversation.com/chatgpt-threatens-language-diversity-more-needs-to-be-done-to-protect-our-differences-in-the-age-of-ai-198878 (accessed 8 Jan 2024).Search in Google Scholar

Bommasani, Rishi, Drew A. Hudson, Ehsan Adeli, Russ Altman, Simran Arora, et al.. 2022. On the opportunities and risks of foundation models. arXiv repository. http://arxiv.org/abs/2108.07258.Search in Google Scholar

Brandt, Adam & Spencer Hazel. 2025. Towards interculturally adaptive conversational AI. Applied Linguistics Review 16(2). 775–786. https://doi.org/10.1515/applirev-2024-0187.Search in Google Scholar

Cave, Stephen & Kanta Dihal. 2020. The whiteness of AI. Philosophy & Technology 33(4). 685–703. https://doi.org/10.1007/s13347-020-00415-6.Search in Google Scholar

Cooper, Christian. 2023. Better living through birding: Notes from a Black man in the natural world. New York: Random House Inc.Search in Google Scholar

Cheng, Myra, Esin Durmus & Dan Jurafsky. 2023. Marked personas: Using natural language prompts to measure stereotypes in language models. arXiv repository. http://arxiv.org/abs/2305.18189.10.18653/v1/2023.acl-long.84Search in Google Scholar

Dai, David Wei, Shungo Suzuki & Guanling Chen. 2025. Generative AI for professional communication training in intercultural contexts: Where are we now and where are we heading? Applied Linguistics Review 16(2). 747–751. https://doi.org/10.1515/applirev-2024-0185.Search in Google Scholar

Feagin, Joe R. 2013. The white racial frame: Centuries of racial framing and counter-framing, 2nd edn. New York: Routledge.10.4324/9780203076828Search in Google Scholar

Gal, Susan & Kathryn Ann Woolard. 2001. Languages and publics: The making of authority. Manchester, UK: St. Jerome Publishing.Search in Google Scholar

Jenks, Christopher J. 2025. Communicating the cultural other: Trust and bias in generative AI and large language models. Applied Linguistics Review 16(2). 787–795. https://doi.org/10.1515/applirev-2024-0196.Search in Google Scholar

Luccioni, Alexandra Sasha, Christopher Akiki, Margaret Mitchell & Yacine Jernite. 2023. Stable bias: Analyzing societal representations in diffusion models. arXiv repository. http://arxiv.org/abs/2303.11408.Search in Google Scholar

Nosta, John. 2023. Recursive training – A precarious echo chamber of artificiality. The Medium. https://johnnosta.medium.com/recursive-training-a-precarious-echo-chamber-of-artificiality-8361b04c6b15 (accessed 21 January 2024).Search in Google Scholar

O’Regan, John P. & Giuliana Ferri. 2025. Artificial intelligence and depth ontology: Implications for intercultural ethics. Applied Linguistics Review 16(2). 797–807. https://doi.org/10.1515/applirev-2024-0189.Search in Google Scholar

Pradhan, Alisha & Amanda Lazar. 2021. Hey Google, do you have a personality? Designing personality and personas for conversational agents. In CUI 2021 – 3rd conference on conversational user interfaces, 1–4. Bilbao, Spain: ACM.10.1145/3469595.3469607Search in Google Scholar

Ros, i Solé, Cristina Jane Fenoulhet & Gerdi Quist. 2020. Vibrant identities and finding joy in difference. Language and Intercultural Communication 20(5). 397–407.10.1080/14708477.2020.1784633Search in Google Scholar

Scollon, Ron, Suzanne Wong Scollon & Rodney H. Jones. 2012. Intercultural communication: A discourse approach. London: Blackwell.10.1002/9781405198431.wbeal0555Search in Google Scholar

Shah, Saqub. 2023. Fascist chatbots are running wild on Character.ai. London Evening Standard. https://www.standard.co.uk/news/tech/character-ai-fascist-chatbots-offensive-generative-b1089868.html#:∼:text=Character.AI%20is%20a%20hugely,dialogue%20agents%20have%20gone%20rogue (accessed 21 January 2024).Search in Google Scholar

Spiers, Elizabeth. 2024. Opinion: I finally figured out who ChatGPT reminds me of. The New York Times. https://www.nytimes.com/2024/01/07/opinion/chatgpt-generative-ai.html?smid=nytcore-ios-share&referringSource=articleShare (accessed 7 January 2024).Search in Google Scholar

Vallor, Shannon. 2024. The AI mirror: How to reclaim our humanity in the age of machine thinking. Oxford: Oxford University Press.10.1093/oso/9780197759066.001.0001Search in Google Scholar

Walters, Joanna. 2020. Video of white woman calling police on black man in Central Park draws outrage. The Guardian. https://www.theguardian.com/us-news/2020/may/26/central-park-new-york-white-woman-black-birdwatcher.Search in Google Scholar

Weatherby, Leif. 2023. ChatGPT is an ideology machine. Jacobin. https://jacobin.com/2023/04/chatgpt-ai-language-models-ideology-media-production/ (accessed 19 January 2024).Search in Google Scholar

Zhu, Hua, Rodney H. Jones & Sylvia Jaworska. 2022. Acts of distinction at times of crisis: An epistemological challenge to intercultural communication research. Language and Intercultural Communication 22(3). 312–323.10.1080/14708477.2021.2024563Search in Google Scholar

Received: 2024-06-06
Accepted: 2024-06-13
Published Online: 2024-08-16
Published in Print: 2025-03-26

© 2024 Walter de Gruyter GmbH, Berlin/Boston

Articles in the same Issue

  1. Frontmatter
  2. Special Issue 1 : Applied Linguistics, Ethics and Aesthetics of Encountering the Other; Guest Editors: Maggie Kubanyiova and Angela Creese
  3. Introduction
  4. Introduction: applied linguistics, ethics and aesthetics of encountering the Other
  5. Research Articles
  6. “When we use that kind of language… someone is going to jail”: relationality and aesthetic interpretation in initial research encounters
  7. The humanism of the other in sociolinguistic ethnography
  8. Towards a sociolinguistics of in difference: stancetaking on others
  9. Becoming response-able with a protest placard: white under(-)standing in encounters with the Black German Other
  10. (Im)possibility of ethical encounters in places of separation: aesthetics as a quiet applied linguistics praxis
  11. Unsettled hearing, responsible listening: encounters with voice after forced migration
  12. Special Issue 2: AI for intercultural communication; Guest Editors: David Wei Dai and Zhu Hua
  13. Introduction
  14. When AI meets intercultural communication: new frontiers, new agendas
  15. Research Articles
  16. Culture machines
  17. Generative AI for professional communication training in intercultural contexts: where are we now and where are we heading?
  18. Towards interculturally adaptive conversational AI
  19. Communicating the cultural other: trust and bias in generative AI and large language models
  20. Artificial intelligence and depth ontology: implications for intercultural ethics
  21. Exploring AI for intercultural communication: open conversation
  22. Review Article
  23. Ideologies of teachers and students towards meso-level English-medium instruction policy and translanguaging in the STEM classroom at a Malaysian university
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  27. “If you don’t know English, it is like there is something wrong with you.” Students’ views of language(s) in a plurilingual setting
  28. Investments, identities, and Chinese learning experience of an Irish adult: the role of context, capital, and agency
  29. Mobility-in-place: how to keep privilege by being mobile at work
  30. Shanghai hukou, English and politics of mobility in China’s globalising economy
  31. Sketching the ecology of humor in English language classes: disclosing the determinant factors
  32. Decolonizing Cameroon’s language policies: a critical assessment
  33. To copy verbatim, paraphrase or summarize – listeners’ methods of discourse representation while recalling academic lectures
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