The Algorithm at the Gate: Exploring Ethical Tensions in Graduate Admissions

Abstract

As generative artificial intelligence (AI) rapidly reshapes how information is created, shared, and evaluated, graduate admissions professionals are confronting new questions about its role in recruitment and selection. This report draws upon ETS’s February 2025 pulse survey of NAGAP members to explore how graduate enrollment management (GEM) professionals are navigating this evolving landscape. We present their perspectives on the acceptable use of AI in graduate admissions—both by institutions and by applicants—and highlight emerging norms and tensions. The report concludes with a discussion on the implications of these findings for GEM policies and practice.