Brown professor exposes 40-student AI cheating scandal, criticizes university's delayed response

Roberto Serrano, an economics professor at Brown University, made a discovery in the spring of 2026 that would force a reckoning with how quickly artificial intelligence has outpaced academic safeguards. After a shooting on campus in December prompted him to shift his midterm exam online, his course enrollment nearly tripled to 86 students. What followed was striking: the average score jumped to 96, compared to the 65-to-80 range of previous years. Forty students achieved perfect scores. The answers, Serrano noticed, bore the unmistakable fingerprints of ChatGPT.

The pattern was too clean to ignore. Serrano announced that the final exam would return to in-person format and that midterm scores would be nullified unless they aligned with final performance. The result was immediate and telling. Only 59 students showed up to take the final. Their average score was 48.6. Of the 27 who dropped the course entirely, 22 had earned that perfect midterm score.

Serrano reported his findings to Brown's Committee on the Academic Code and to the student newspaper, The Brown Daily Herald, which had already documented a campus-wide cheating problem in April. He waited. Weeks passed. The university offered no acknowledgment, no investigation, no response. It was only when his account appeared in El País on June 28 that the machinery of institutional accountability began to move. Three days after publication, the committee contacted him asking for more evidence. When his story circulated through Inside Higher Ed the following week, Brown committed to a formal investigation.

In an op-ed for The Free Press, Serrano did not mince words about what the delay revealed. "I am very grateful that they finally took this step," he wrote. "But there is no doubt in my mind that nothing would have happened if I had not decided to go public." He framed the problem not as a failure of individual students but as a systemic vulnerability. The students had not been under extraordinary pressure—the exam allowed virtually unlimited time. They had made a deliberate choice, and the institution had failed to create consequences that might have deterred it.

Brown University responded to Fox News Digital with a statement asserting it had been "consistently responsive" to Serrano's concerns. The university noted that academic leaders had been in touch in May 2026 to explain the formal adjudication process, and that once Serrano provided the necessary details in early July, the committee moved forward according to procedure. The timeline, however, told a different story: silence until media attention forced action.

Serrano's broader argument cut deeper than the immediate scandal. He rejected the notion that students had turned to AI out of desperation or overwhelming pressure. "A competitive environment has existed in society since the dawn of civilization," he wrote. "There is no plausible reason to use it as a cheap excuse for cheating." Instead, he identified the real problem: AI had made cheating so frictionless that without clear consequences, more students would be tempted to try it. The solution was not to sympathize with the pressure students felt but to establish incentives that made honesty the rational choice.

What happened in Serrano's classroom was not unique to Brown, and it was not primarily about the character of 40 individual students. It was a test of whether universities could respond quickly enough to a technology that had fundamentally altered the calculus of academic dishonesty. Serrano had exposed the answer: they could not, not without public pressure. As AI tools become more sophisticated and more widely available, that gap between institutional response time and technological capability will only widen.