When Shortcuts Go Too Far: The AI Cheating Scandal at Brown University

A serious academic scandal is currently unfolding at Brown University, raising difficult questions about how students use technology to complete their work. The situation centers on an economics course, ECON 1170, taught by Professor Roberto Serrano. After a tragic shooting incident on campus in December 2025, Professor Serrano decided to make his spring 2026 exams 'take-home' to help students during a difficult time. However, this change led to unexpected and troubling results that have now become the focus of a national conversation.

According to Ars Technica, the course usually attracts a small group of highly dedicated students. In the past, the average grade for the midterm exam typically ranged between 65 and 80 percent. Because the exams were now take-home, Professor Serrano made them even more challenging than usual. Despite the increased difficulty, the results were shocking. The class size grew to 86 students, and the average score on the midterm was 96 out of 100. Most notably, 40 students—nearly half of the class—received a perfect score of 100.

Professor Serrano, who has been very open about his concerns, believes these results are not a sign of hard work, but rather evidence of widespread cheating using generative AI. Generative AI is a type of computer software that can create text, solve problems, and write essays in seconds. While these tools can be helpful for brainstorming, they can also be used to write entire exam answers without the student actually learning the material. As reported by Ars Technica, Serrano noted that he cannot accept such results, as they suggest that students are choosing shortcuts instead of engaging with the difficult economic concepts he teaches.

This incident at Brown University is part of a larger trend in education. A recent survey of students at Princeton University found that nearly 30 percent of students admitted to using AI to cheat on at least one assignment or exam. Experts suggest that while students at top universities are clearly intelligent, they are also under immense pressure to succeed. When students are busy and competitive, AI tools can look like an easy way to save time. However, educators warn that this behavior undermines the purpose of university education. If students rely on machines to do their thinking, they miss the opportunity to develop the critical skills they will need in their future careers.

Professor Serrano has shared his story with several news outlets, including El País and Inside Higher Ed, to highlight the severity of the issue. He argues that universities must find ways to address this behavior before it becomes the new normal. The scandal has left the university community struggling to find a balance between trusting students and ensuring that grades accurately reflect what a student has actually learned. Some faculty members are now reconsidering the use of take-home exams, while others are looking for new ways to test students that cannot be easily solved by AI.

As the investigation into the exam results continues, the case serves as a warning for other schools. The ease with which students can now access powerful AI tools means that traditional methods of testing may no longer be enough to prevent cheating. For students, the challenge is to resist the temptation of the 'easy path.' For universities, the challenge is to create environments where learning is valued more than a high grade. Whether this scandal will lead to stricter rules or a new approach to teaching remains to be seen, but it is clear that the relationship between technology and academic honesty has changed forever.