Efforts to prevent cheating with AI in educational settings are ongoing, but many students seeking shortcuts will continue to find ways around learning. A focus on supporting students who genuinely want to learn and are willing to invest time in their education is essential.

Tony Feng is a mathematics professor at UC Berkeley, and he tells us: « In the past, the path to a math Ph.D. cultivated resilience, resourcefulness, critical thinking, and a healthy skepticism (…) but suddenly you can produce a passable Ph.D. thesis with the push of a button. » Obviously, it is not just in mathematics. Obviously. Want to write a PhD in sociology, education, computer science, or m...

Brown University students experienced a 50% drop in final exam scores after a professor mandated in-person testing due to suspicions of AI-assisted cheating. The situation highlights the prevalence of academic dishonesty among high-achieving students under pressure.

Roberto Serrano, a professor at Brown University, claims to have overwhelming evidence of widespread cheating using AI among his students. He emphasizes the need for a thorough discussion on the implications of AI technology for academic integrity in higher education.