אודות פרק זה
In this episode of Behavior and Risk, we explore how rapidly expanding AI spending and adoption are reshaping academia, creating both opportunities for customized learning and course development and risks of student shortcuts that undermine critical thinking. We compare today’s debates to early internet-era fears, arguing AI is a permanent paradigm shift and education must adapt by teaching students how to use AI responsibly and effectively for work. We discuss Columbia University’s shift toward allowing AI use due to detection challenges and workplace relevance, and emphasize “authentic assessments,” higher-level application questions, prompt grading, and quality control through fact-checking. Examples include redesigning medical assignments to build a Parkinson’s community program, using oral “hot seat” Socratic evaluation, AI-assisted grading with rubrics, and workplace training on tools like Copilot where success depends on asking the right questions and validating outputs.
