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qualitative
global

AI and the Preference Paradox: When Larger Models Think More Like Humans

Large language models do not behave neutrally in economic decisions. In preference tasks, more advanced models become increasingly human-like and irrational. In belief tasks, they become more statistically rational. Simple role priming modestly improves performance, but deeper debiasing fails. AI agents inherit—and selectively correct—human behavioral distortions .

Original source

· 3 min read