Large language models like GPT can be used to create synthetic participants that mimic human responses in behavioral research. These models show potential for testing policy interventions at scale, offering speed and consistency across contexts. While synthetic responses often align with human ones, variations across countries and domains highlight the need for careful application. Used effectively, AI models can support behavioral research and policy design in new and complementary ways.
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