WORK
Buyl LLM Ideology Study
The 2025 <em>Nature Machine Intelligence</em> study by Maarten Buyl and colleagues demonstrating that nineteen large language models reflect the ideological worldviews of their creators — with an explicitly Mouffean regulatory conclusion.
The study analyzed nineteen large language models from multiple countries, testing their responses to politically contested questions. The finding: each LLM reflects systematic ideological patterns corresponding to the cultural and institutional context of its creators. Chinese models differ from American models; American models differ from European models; all of them depart from one another in measurable ways on questions of economic policy, social values, and historical interpretation. The researchers' conclusion was explicitly Mouffean. Rather than pursuing the chimera of ideological neutrality — which the Mouffean framework reveals as a hegemonic operation disguised as procedural fairness — regulatory efforts should focus on preventing LLM monopolies and preserving ideological diversity across AI systems as a feature, not a bug. 'The strong ideological diversity shown across publicly available, powerful LLMs would even be considered healthy under Mouffe's democratic model of pluralistic agonism.'
In The You On AI Field Guide
The study provides the first substantial empirical grounding for applying agonistic pluralism to the material infrastructure of AI.
Keep reading with YOU ON AI
Unlock the full book, 10,000+ field-guide entries, and a 1000+ thinker library. If you have a book code, register now — it takes a minute.