Operationalizing Values in Language Models: A Comparative Analysis Using Hofstede’s Dimensions

Autores/as

  • Anna Shabanova School of Management Skolkovo
  • Alexander Didenko The Russian Presidential Academy of National Economy and Public Administration
  • Vladislav Zapylikhin The Russian Presidential Academy of National Economy and Public Administration
  • Alexander Balakir School of Management Skolkovo
  • Ruslana Raemgulova School of Management Skolkovo
  • Alexander Antipov School of Management Skolkovo

Palabras clave:

AI cultural alignment, Hofstede’s dimensions, large language models, value systems

Resumen

This study explores the alignment of cultural values in various language models through a unique application of Hofstede’s cultural dimensions. Utilizing a set of one-shot questions derived from Hofstede’s framework, we conducted an empirical investigation into how different artificial intelligence systems, including GPT-4o, mini GPT, YandexGPT, GigaChat, Claude Sonnet, and Gemini, conceptualize and express cultural values. Our findings reveal a distinct alignment of YandexGPT and GigaChat with Protestant work ethics, broadly categorized under individualistic Western values, while the remaining models demonstrated a tendency towards Catholic ethics, reflecting more collectivist Eastern values. This study contributes to the understanding of AI’s sociocultural alignment and raises significant implications for the development and deployment of language technologies across diverse cultural contexts. By examining the intersection of computer science and Hofstede’s sociological theories, we shed light on the underlying value systems that guide AI responses, providing a path into their potential societal impacts and ethical considerations, as well as giving business insights.

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Publicado

2025-12-05

Cómo citar

Shabanova, A. ., Didenko, A. ., Zapylikhin, V. ., Balakir, A. ., Raemgulova, R. ., & Antipov, A. (2025). Operationalizing Values in Language Models: A Comparative Analysis Using Hofstede’s Dimensions. Congreso Internacional De Conocimiento E Innovación - Ciki, 1(1). Recuperado a partir de https://proceeding.ciki.ufsc.br/index.php/ciki/article/view/1743