All articles tagged with #ai cheating
Brown University economist Roberto Serrano warned that AI-driven cheating has made cheating costs nearly zero; a take-home midterm produced unusually high scores, and when the final was moved to in-person, many top-scoring students saw their grades drop, prompting an academic integrity investigation and policy changes such as ending take-home components in future courses.
Brown University economics professor Roberto Serrano suspects a majority of students in his take-home midterm used AI to cheat, prompting him to make the final exam in-person; the midterm averaged about 96% while the final averaged 48.6%, leading to dozens dropping the course or failing. Brown’s handling of the case, including a Standing Committee on the Academic Code and a campus GenAI in teaching and learning initiative, has drawn criticism and highlighted broader questions about AI, detection, and policy in higher education.
Brown econ professor Roberto Serrano moved ECON 1170 to take-home midterms and an in-person final to test for AI-assisted cheating. The class swelled to 86; the midterm averaged 96 with 40 perfect scores, but the final’s in-person results among 27 takers averaged 48 (18 dropped, 9 did not attend). Notably, 22 of the 27 final-takers had scored 100 on the midterm. Serrano suspects widespread AI cheating and warns that if cheating becomes normalized, it could erode learning and society. Brown’s GenAI in Teaching and Learning report documents both usage and concerns.