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

Reginald Gooch; Sara Haviland

doi:10.64634/kj3h8q48

Authors

Reginald M. Gooch ETS Research Institute Author
Sara B. Haviland ETS Research Institute Author

DOI:

https://doi.org/10.64634/kj3h8q48

Keywords:

Admissions, GEM, graduate enrollment management, AI, artificial intelligence, graduate admissions, NAGAP, 2025, AI bias, AI ethics, AI literacy, admissions fairness, Association for Graduation Enrollment Management, generative AI, higher education admissions, institutional use of AI, recruitment

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 research note draws upon ETS’s February 2025 pulse survey of members of NAGAP, the Association for Graduate Enrollment Management, 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.

Suggested citation: Gooch, R. M., & Haviland, S. B. (2026). The algorithm at the gate: Exploring ethical tensions in graduate admissions (Research Notes). ETS. https://doi.org/10.64634/kj3h8q48