How Will ChatGPT and Large Models Influence the Research Paradigm in Economics?
Large models,exemplified by ChatGPT,represent a significant break-through in general generative artificial intelligence technology.Their far-reaching implications extend into diverse facets of human production,lifestyle,and cognitive processes,prompting a transformative paradigm shift in the realm of economic re-search.Originating from the convergence of big data and artificial intelligence,these large models introduce a novel approach to systemic analysis,particularly adept at scrutinizing intricate human economic and social systems.We first discuss the fun-damental characteristics and development paradigms of ChatGPT and large models,focusing on how these models effectively tackle the methodological challenges posed by the"curse of dimensionality".We then delve into how ChatGPT and large mod-els will influence the paradigm of economic research.This includes a shift from the assumption of the rational economic man to an AI-driven"human-machine hybrid"economic agent,from the isolated economic individual to the socio-economic indi-vidual whose behaviors are measurable,from the separation of macroeconomics and microeconomics to their integration,from the separation of qualitative and quantita-tive analysis to their unification,and from the long-dominant"small-model"paradigm to a"large-model"paradigm in economic research.We also cover the increasing sig-nificance of computer algorithms as a prominent research paradigm and method in economics.Finally,we point out the limitations inherent in artificial intelligence tech-nologies,including large models,when employed as a research method in economics and the broader social sciences.
big datalarge modelsresearch paradigmcurse of dimensionalitycausalityempirical research
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