Generative AI for economic research: Use cases and implications for economists (Record no. 525542)
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| 000 -LEADER | |
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| fixed length control field | 01584nam a22001577a 4500 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 240321b ||||| |||| 00| 0 eng d |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Korinek, Anton |
| 245 ## - TITLE STATEMENT | |
| Title | Generative AI for economic research: Use cases and implications for economists |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication, distribution, etc | Journal of Economic Literature |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 61(4), Dec, 2023: p.1281-1317 |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | 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.- Reproduced https://www.aeaweb.org/articles?id=10.1257/jel.20231736 |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Generative AI, Economic research, ChatGPT |
| 9 (RLIN) | 50702 |
| 773 ## - HOST ITEM ENTRY | |
| Main entry heading | Journal of Economic Literature |
| 906 ## - LOCAL DATA ELEMENT F, LDF (RLIN) | |
| Subject DIP | ARTIFICIAL INTELLIGENCE |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Item type | Articles |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Permanent location | Current location | Date acquired | Serial Enumeration / chronology | Barcode | Date last seen | Koha item type |
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| Indian Institute of Public Administration | Indian Institute of Public Administration | 2024-03-21 | 61(4), Dec, 2023: p.1281-1317 | AR131340 | 2024-03-21 | Articles |