As AI enters the admissions office, higher education leaders are being urged to prioritize transparency, accountability, and student trust.

WHAT’S HAPPENING

A new framework from the National Student Legal Defense Network is encouraging colleges and universities to take a cautious approach when integrating artificial intelligence into admissions decisions. The guidance outlines 10 recommended practices and common pitfalls, emphasizing that institutions should carefully evaluate whether AI aligns with their goals before deploying it in application review.

The recommendations arrive as more schools explore AI-powered tools to help manage growing application volumes and limited staffing resources. However, many institutions still lack formal policies governing how AI should be used in admissions.

WHY IT MATTERS

Admissions decisions can shape a student’s future, making transparency and fairness critical. While AI can help institutions process applications more efficiently and identify patterns within large datasets, concerns remain about bias, privacy, accountability, and the potential erosion of applicant trust.

The guidance highlights a growing reality across many industries: AI can assist decision-making, but organizations remain responsible for the outcomes. Colleges that deploy AI without fully understanding how these systems operate could face reputational, legal, and ethical challenges.

WHO BENEFITS

Colleges and Universities — Gain frameworks that help balance efficiency with responsible AI adoption.

Admissions Teams — Can use AI as a support tool while maintaining human oversight over final decisions.

Students and Applicants — Benefit from greater transparency, accountability, and protections surrounding how their applications are evaluated.

WHO LOSES

AI Vendors With Limited Transparency — Institutions may demand greater visibility into how admissions algorithms function.

Schools Pursuing AI Without Governance — Risk increased scrutiny if automated tools introduce bias or privacy concerns.

Applicants Affected By Poorly Designed Systems — Could face unfair outcomes when institutions rely too heavily on automated evaluations.

WHAT HAPPENS NEXT

Expect colleges to move more deliberately toward AI-assisted admissions rather than fully automated decision-making. Future discussions will likely focus on transparency requirements, student data protection, vendor accountability, and the role of human judgment in high-stakes decisions.

As AI adoption expands across higher education, the institutions that establish clear policies and maintain human accountability are likely to face fewer risks while preserving trust in the admissions process.