Risks and Countermeasures for Using Large Language Models in Business: Necessity of Establishing Internal Guidelines to Avoid Information Leakage
Year: 2024
Type: dissertation
Study design: Observational Study
Abstract: The widespread use of Large Language Models (LLMs), such as ChatGPT, has led to significant advancements in various industries but also raised concerns regarding the risks of information leakage. This study addresses these risks in the workplace and proposes formulating internal guidelines as an effective countermeasure. The study evaluates such guidelines' feasibility and potential impact through a literature review and qualitative analysis of 145 survey responses. Findings suggest that implementing internal guidelines is a practical and effective strategy to mitigate the risk of information leakage for using general-purpose LLMs at work. The results contribute to developing organizational strategies for safe LLM use and suggest a direction for further research, including refining guidelines and exploring their broader applicability.
Author: Matsuda, Fumika
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7133001698