Leveraging Large Language Models to Understand the Financial Behavior of Women and Minority Groups

Patti J. Fisher1
Yinlin Chen2

1Department of Apparel, Housing, and Resource Management and 2University Libraries
Virginia Tech, Blacksburg, VA, USA



Our project represents a pioneering effort in financial data analysis, focusing on the financial behaviors of women and minority groups, using large language models (LLMs) like OpenAI GPT4 in natural language processing (NLP) tasks. By developing a user-friendly interface to analyze the Survey of Consumer Finances (SCF) data, we aim to highlight potential disparities in financial decision-making within these communities. This initiative combines the expertise of specialists in financial behavior and artificial intelligence, utilizing transformer and foundation models for data processing and analysis. Our anticipated outcomes include offering valuable insights to financial institutions and policymakers, promoting financial inclusion, and contributing significantly to research on economic inequality.







This project is supported by University Libraries Collaborative Research Grant.