  Culture fundamentally shapes people's reasoning, behavior, and communication.
As people increasingly use generative artificial intelligence (AI) to expedite
and automate personal and professional tasks, cultural values embedded in AI
models may bias people's authentic expression and contribute to the dominance
of certain cultures. We conduct a disaggregated evaluation of cultural bias for
five widely used large language models (OpenAI's GPT-4o/4-turbo/4/3.5-turbo/3)
by comparing the models' responses to nationally representative survey data.
All models exhibit cultural values resembling English-speaking and Protestant
European countries. We test cultural prompting as a control strategy to
increase cultural alignment for each country/territory. For recent models
(GPT-4, 4-turbo, 4o), this improves the cultural alignment of the models'
output for 71-81% of countries and territories. We suggest using cultural
prompting and ongoing evaluation to reduce cultural bias in the output of
generative AI.
