Admissions in the age of AI: detecting AI-generated application materials in higher education.

ABSTRACT: Recent advances in Artificial Intelligence (AI), such as the development of large language models like ChatGPT, have blurred the boundaries between human and AI-generated text. This has led to a pressing need for tools that can determine whether text has been created or revised using AI. A general and universally effective detection model would be extremely useful, but appears to be beyond the reach of current technology and detection methods. The research described in this study adopts a domain and task specific approach and shows that specialized detection models can attain high accuracy. The study focuses on the higher education graduate admissions process, with the specific goal of identifying AI-generated and AI-revised Letters of Recommendation (LORs) and Statements of Intent (SOIs).

SUBMITTER: Zhao Y 

PROVIDER: S-EPMC11531587 | biostudies-literature | 2024 Nov

REPOSITORIES: biostudies-literature