Work

Using Generative AI Models to Understand FOMC Monetary Policy Discussions

Year: 2024

Type: article

Abstract: In an era increasingly shaped by artificial intelligence (AI), the public’s understanding of economic policy may be filtered through the lens of generative AI models (also called large language models or LLMs). Generative AI models offer the promise of quickly ingesting and interpreting large amounts of textual information.

Source: FEDS Notes

DOI: 10.17016/2380-7172.3678

Authors: Wendy Dunn, Ellen E. Meade, Nitish Ranjan Sinha, Raakin Kabir

Institutions: Federal Reserve, Federal Reserve Board of Governors, Duke University

Language: English

Topic: Computational and Text Analysis Methods

Subfield: General Social Sciences

Field: Social Sciences

Domain: Social Sciences

Open Access status: hybrid

OpenAlex ID: W4405315617

FWCI: 2.799

Cites: 3

Cited by: 3

Related to: 10