This podcast addresses two very different aspects of institutional evaluation: the formal management of artificial intelligence and the informal realities of university admissions. The first source is a technical publication from NIST detailing a framework to improve AI trustworthiness through specific functions like governing, mapping, measuring, and managing systemic risks. It emphasizes the need for accountability and transparency to prevent technological harms to society and individuals. Conversely, the second source provides a collection of anecdotes highlighting common pitfalls that lead to the rejection of college applicants, such as plagiarism, dishonesty, and unprofessional social media behavior ...