Current State

While AI offers potential benefits such as increased efficiency and scalability, concerns have emerged regarding bias, accountability, ethical decision-making and integrity of an institution. Algorithms trained on historical admissions data could unintentionally reproduce existing inequalities related to race, socioeconomic status, geography, language backgrounds, etc. Additionally, many institutions lack clear governance structures explaining how AI systems are selected, monitored or challenged.