Pluralistic AI Alignment: A Cross-Cultural Pilot Survey

Khashayar Alavi, Lucie Flek, Florian Mai

Keywords: pluralistic alignment, survey

Corresponding Author Name: Khashayar Alavi

TL;DR: We conducted a small survey pilot to understand the user demand for pluralistic alignment methods.

Corresponding Author Email: [e-mail]

Abstract: Large Language Models are used globally but are often aligned to primarily Western values. To better understand the need for pluralistic alignment methods, this paper presents a pilot survey that investigates how end users from diverse cultural contexts perceive the representation of their values in AIs, their demand for models better aligned to their own values, and what tradeoffs they would accept for better alignment. Our study reveals clear cross-cultural variation, strong interest in culturally aware assistants, higher marginalization fears in some groups, and wide willingness to trade slight accuracy losses for better alignment. Our findings provide a foundation for a more comprehensive global survey.

Submission Number: 9