96 vs. 48: The Brown University AI Cheating Scandal

A take-home midterm at Brown University averaged 96, then the same students averaged 48 on the in-person final, and that gap tells the whole story. Host Emily Laird walks through how economist Roberto Serrano, a professional game theorist, caught roughly fifty suspected AI cheaters without detection software: he simply designed a test the fakes could not afford to sit. This episode covers the statistical fingerprint of unedited ChatGPT proofs, the students who confessed by dropping the course, and why a room full of desks outperformed the entire AI-detection industry. If you evaluate people for a living, Serrano just handed you the template.   🎯 JOIN THE AI WEEKLY MEETUPS https://www.uwstout.edu/ai-weekly-meetup   📩 EMAIL REMINDERS FOR THE MEETUPS https://app.e2ma.net/app2/audience/signup/2101263/1779703/   💬 CONNECT WITH EMILY LAIRD ON LINKEDIN http://www.linkedin.com/in/meet-emily-laird