用于经济研究的生成式人工智能:使用案例和对经济学家的影响

IF 11.5 1区 经济学 Q1 ECONOMICS
Anton Korinek
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引用次数: 2

摘要

生成式人工智能(AI)有可能彻底改变研究工作。我分析了大型语言模型(LLM)(如 ChatGPT)如何帮助经济学家,描述了六个领域的数十个用例:构思和反馈、写作、背景研究、数据分析、编码和数学推导。我提供了如何利用每个领域的一般说明和具体示例,并将 LLM 功能从实验性到高度有用性进行了分类。我认为,经济学家可以利用生成式人工智能实现微观任务的自动化,从而大幅提高工作效率。此外,随着人工智能系统性能的不断提高,这些收益也将不断增长。我还推测了人工智能驱动的认知自动化对经济研究的长期影响。与本文相关的在线资源解释了如何入门,并将定期更新生成式人工智能在经济学中的最新能力。(JEL A11, C45, D83, I23, O33)
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Generative AI for Economic Research: Use Cases and Implications for Economists
Generative artificial intelligence (AI) has the potential to revolutionize research. I analyze how large language models (LLMs) such as ChatGPT can assist economists by describing dozens of use cases in six areas: ideation and feedback, writing, background research, data analysis, coding, and mathematical derivations. I provide general instructions and demonstrate specific examples of how to take advantage of each of these, classifying the LLM capabilities from experimental to highly useful. I argue that economists can reap significant productivity gains by taking advantage of generative AI to automate micro-tasks. Moreover, these gains will grow as the performance of AI systems continues to improve. I also speculate on the longer-term implications of AI-powered cognitive automation for economic research. The online resources associated with this paper explain how to get started and will provide regular updates on the latest capabilities of generative AI in economics. (JEL A11, C45, D83, I23, O33)
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来源期刊
CiteScore
17.80
自引率
0.80%
发文量
49
期刊介绍: Commencing in 1969, the Journal of Economic Literature (JEL) serves as a vital resource for economists, offering a means to stay informed about the extensive literature in the field. Each JEL issue features commissioned, peer-reviewed survey and review articles, book reviews, an annotated bibliography categorizing new books by subject, and an annual index of dissertations from North American universities.
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