reword this Anticipated problems include potential bias in the model, overemphasis on quantifiable metrics, and a lack of adaptability to individual circumstances. To address these, we'd have to ensure diversity in training data, include a broad range of success metrics beyond academics, and maintain human oversight to account for the unique traits and experiences of applicants. Regular reviews and updates to the model would be necessary to solve issues as they arise