What is it about?
The article explores how generative AI is deeply shaped, yet often overlooked, by cultural diversity. It argues for a shift from treating AI as a universal, monolithic phenomenon toward seeing it as embedded within multiple, varied cultural, linguistic, and national contexts
Featured Image
Photo by Yucel Moran on Unsplash
Why is it important?
It’s important because the way we design and deploy AI today is heavily shaped by a narrow set of cultural assumptions—mostly English-speaking, Western, tech-industry perspectives. If we treat AI as “universal,” we risk embedding those biases into systems that are meant to serve a much wider world.
Perspectives
From my perspective, the piece is a valuable reminder that AI isn’t a neutral or universal force—it’s always shaped by the cultural environments it emerges from. I like that it challenges the dominance of an Anglo-American framing of AI and instead calls for more pluralistic, global voices in its design and governance. For me, this resonates strongly with the idea of collaborative AI: technology should reflect and serve diverse communities rather than flatten them into one standard. It also underlines why policy and education around AI need to be sensitive to context, not just to technical capacity.
Aleksandra Przegalinska
Akademia Leona Kozminskiego
Read the Original
This page is a summary of: Global AI Cultures, Communications of the ACM, August 2025, ACM (Association for Computing Machinery),
DOI: 10.1145/3722547.
You can read the full text:
Resources
Contributors
The following have contributed to this page
