Assessing Cross-Cultural Alignment between ChatGPT and Human Societies: An Empirical Study

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

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Assessing Cross-Cultural Alignment between ChatGPT and Human Societies : An Empirical Study. / Cao, Yong; Zhou, Li; Lee, Seolhwa; Cabello, Laura; Chen, Min; Hershcovich, Daniel.

Proceedings of the First Workshop on Cross-Cultural Considerations in NLP (C3NLP). Association for Computational Linguistics (ACL), 2023. p. 53-67.

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Harvard

Cao, Y, Zhou, L, Lee, S, Cabello, L, Chen, M & Hershcovich, D 2023, Assessing Cross-Cultural Alignment between ChatGPT and Human Societies: An Empirical Study. in Proceedings of the First Workshop on Cross-Cultural Considerations in NLP (C3NLP). Association for Computational Linguistics (ACL), pp. 53-67, 1st Workshop on Cross-Cultural Considerations in NLP, C3NLP 2023, Dubrovnik, Croatia, 05/05/2023. <https://aclanthology.org/2023.c3nlp-1.7.pdf>

APA

Cao, Y., Zhou, L., Lee, S., Cabello, L., Chen, M., & Hershcovich, D. (2023). Assessing Cross-Cultural Alignment between ChatGPT and Human Societies: An Empirical Study. In Proceedings of the First Workshop on Cross-Cultural Considerations in NLP (C3NLP) (pp. 53-67). Association for Computational Linguistics (ACL). https://aclanthology.org/2023.c3nlp-1.7.pdf

Vancouver

Cao Y, Zhou L, Lee S, Cabello L, Chen M, Hershcovich D. Assessing Cross-Cultural Alignment between ChatGPT and Human Societies: An Empirical Study. In Proceedings of the First Workshop on Cross-Cultural Considerations in NLP (C3NLP). Association for Computational Linguistics (ACL). 2023. p. 53-67

Author

Cao, Yong ; Zhou, Li ; Lee, Seolhwa ; Cabello, Laura ; Chen, Min ; Hershcovich, Daniel. / Assessing Cross-Cultural Alignment between ChatGPT and Human Societies : An Empirical Study. Proceedings of the First Workshop on Cross-Cultural Considerations in NLP (C3NLP). Association for Computational Linguistics (ACL), 2023. pp. 53-67

Bibtex

@inproceedings{1332bb52c34a468b9faf83bd556d5b55,
title = "Assessing Cross-Cultural Alignment between ChatGPT and Human Societies: An Empirical Study",
abstract = "The recent release of ChatGPT has garnered widespread recognition for its exceptional ability to generate human-like responses in dialogue. Given its usage by users from various nations and its training on a vast multilingual corpus that incorporates diverse cultural and societal norms, it is crucial to evaluate its effectiveness in cultural adaptation. In this paper, we investigate the underlying cultural background of ChatGPT by analyzing its responses to questions designed to quantify human cultural differences. Our findings suggest that, when prompted with American context, ChatGPT exhibits a strong alignment with American culture, but it adapts less effectively to other cultural contexts. Furthermore, by using different prompts to probe the model, we show that English prompts reduce the variance in model responses, flattening out cultural differences and biasing them towards American culture. This study provides valuable insights into the cultural implications of ChatGPT and highlights the necessity of greater diversity and cultural awareness in language technologies.",
author = "Yong Cao and Li Zhou and Seolhwa Lee and Laura Cabello and Min Chen and Daniel Hershcovich",
note = "Publisher Copyright: {\textcopyright} 2023 Association for Computational Linguistics.; 1st Workshop on Cross-Cultural Considerations in NLP, C3NLP 2023 ; Conference date: 05-05-2023",
year = "2023",
language = "English",
pages = "53--67",
booktitle = "Proceedings of the First Workshop on Cross-Cultural Considerations in NLP (C3NLP)",
publisher = "Association for Computational Linguistics (ACL)",
address = "United States",

}

RIS

TY - GEN

T1 - Assessing Cross-Cultural Alignment between ChatGPT and Human Societies

T2 - 1st Workshop on Cross-Cultural Considerations in NLP, C3NLP 2023

AU - Cao, Yong

AU - Zhou, Li

AU - Lee, Seolhwa

AU - Cabello, Laura

AU - Chen, Min

AU - Hershcovich, Daniel

N1 - Publisher Copyright: © 2023 Association for Computational Linguistics.

PY - 2023

Y1 - 2023

N2 - The recent release of ChatGPT has garnered widespread recognition for its exceptional ability to generate human-like responses in dialogue. Given its usage by users from various nations and its training on a vast multilingual corpus that incorporates diverse cultural and societal norms, it is crucial to evaluate its effectiveness in cultural adaptation. In this paper, we investigate the underlying cultural background of ChatGPT by analyzing its responses to questions designed to quantify human cultural differences. Our findings suggest that, when prompted with American context, ChatGPT exhibits a strong alignment with American culture, but it adapts less effectively to other cultural contexts. Furthermore, by using different prompts to probe the model, we show that English prompts reduce the variance in model responses, flattening out cultural differences and biasing them towards American culture. This study provides valuable insights into the cultural implications of ChatGPT and highlights the necessity of greater diversity and cultural awareness in language technologies.

AB - The recent release of ChatGPT has garnered widespread recognition for its exceptional ability to generate human-like responses in dialogue. Given its usage by users from various nations and its training on a vast multilingual corpus that incorporates diverse cultural and societal norms, it is crucial to evaluate its effectiveness in cultural adaptation. In this paper, we investigate the underlying cultural background of ChatGPT by analyzing its responses to questions designed to quantify human cultural differences. Our findings suggest that, when prompted with American context, ChatGPT exhibits a strong alignment with American culture, but it adapts less effectively to other cultural contexts. Furthermore, by using different prompts to probe the model, we show that English prompts reduce the variance in model responses, flattening out cultural differences and biasing them towards American culture. This study provides valuable insights into the cultural implications of ChatGPT and highlights the necessity of greater diversity and cultural awareness in language technologies.

UR - http://www.scopus.com/inward/record.url?scp=85162113418&partnerID=8YFLogxK

M3 - Article in proceedings

AN - SCOPUS:85162113418

SP - 53

EP - 67

BT - Proceedings of the First Workshop on Cross-Cultural Considerations in NLP (C3NLP)

PB - Association for Computational Linguistics (ACL)

Y2 - 5 May 2023

ER -

ID: 372530330