New research shows AI for college admissions

Balancing AI Efficiency and Human Oversight in College Admissions

Our new research explores how market design principles and predictive algorithms can revolutionize college admissions. By leveraging AI models to predict student dropout rates, we aim to align applicants with programs where they are most likely to succeed. This approach enhances both efficiency and fairness compared to traditional methods based on GPA or human judgment.

Our findings demonstrate that AI-driven admissions can optimize outcomes by improving the match between students and study programs. However, this efficiency raises concerns about reduced human oversight and transparency. As policymakers integrate AI into decision-making, balancing these trade-offs is essential to maintain trust and accountability in public policy.

Read the full paper here.