As students applying to colleges are warned against using AI chatbots for their essays, some institutions are embracing AI to aid in the admissions process. Colleges like Virginia Tech are launching AI-powered tools to manage the vast number of applications they receive, aiming to streamline the evaluation process and deliver results faster.


Virginia Tech is introducing an AI-powered essay reader designed to sift through tens of thousands of applications efficiently—potentially allowing admissions decisions to be communicated a month sooner than usual. The AI is consistent; it does not tire or have a bad day, which can be beneficial in maintaining uniformity in evaluations, says Juan Espinoza, vice provost for enrollment management.


However, schools are cautious, emphasizing that human evaluators remain vital in the process. AI tools are primarily used to assist in reviewing transcripts, evaluate data entry tasks, and support comprehensive evaluations of applications. The California Institute of Technology, for instance, is implementing an AI system to assess the authenticity of student research submissions during interviews, reflecting a growing trend to maintain academic integrity.


Despite the potential benefits, the introduction of AI in admissions processes has sparked criticism and concerns regarding the ethical implications. The University of North Carolina at Chapel Hill faced backlash when it was revealed they used AI to evaluate the grammar and style of applicants' essays. Following criticism, the university clarified that while AI might provide data points, each application is still reviewed by trained humans.


As colleges continue exploring AI capabilities, they are confronted with the challenge of balancing technological efficiency with ethical standards. The National Association for College Admission Counseling has updated its policies to address AI in admissions, urging schools to prioritize transparency and equity in their processes.


As AI tools become more integrated, they promise to enhance the admissions landscape. However, experts caution that the human element remains crucial in understanding applicant backgrounds and experiences. The collaboration between AI and human evaluators could redefine how admissions decisions are made in the future, blending technology with the nuanced understanding only human evaluators can provide.