Brown professor sees drastic drop in grades after banning AI on exam

An economics professor at Brown University suspects most of his 86 students used AI to cheat on a take-home exam that averaged 96 percent. When he made the final an in-person test, 18 students dropped the course, nine didn't show up, and the average fell to 48.6 percent. Two large studies from China and UC Berkeley back up his case: where students lean on AI for homework, their proctored exam scores tank.

The professor's experience suggests that many students may have been relying heavily on AI to complete their coursework, and were unable to perform as well when forced to take the exam without AI assistance. The findings also raise questions about the validity of grades and academic integrity in an era where AI tools are increasingly accessible to students. Why this matters: The incident highlights the challenges educators face in ensuring academic integrity in an AI-driven era.

As AI tools become more sophisticated and widely available, it's likely that many students will continue to rely on them to complete coursework. This raises important questions about the role of AI in education and how to ensure that students are actually learning the material. For developers and educators, this means rethinking assessment methods to prevent AI-assisted cheating.

For businesses and consumers, it underscores the need for a workforce that's able to think critically and solve problems without relying on AI. Ultimately, the issue is not just about preventing cheating, but about ensuring that students are equipped with the skills and knowledge they need to succeed in a rapidly changing world.