GoKawiilThe renowned economist Roberto Serrano has ‘overwhelming evidence’ that his students cheated. He thinks the time has come for an in-depth debate so the technology does not signal the end of higher education
The temptation to use artificial intelligence (AI) to cheat is shaking up elite universities in the United States. Professor Roberto Serrano, who is the Harrison S. Kravis University Professor of Economics at Brown University, has detected a massive fraud in one of the classes he teaches, ECON 1170, an advanced undergraduate course in mathematical economics. He has conclusive evidence that at least 50 students cheated on the March midterm exam, making it the biggest known scandal at Brown and in the entire Ivy League, which brings together the East Coast’s eight most elite private universities, including Princeton, Harvard, Yale, Columbia, Cornell, Dartmouth College and University of Pennsylvania.
When he reported the case to high-ranking officials at Brown, he got a cold reaction. The response from the president, he said, was absolute silence. The dean did not comment either until Serrano took the case before the Academic Code Committee. At that point, he received a note acknowledging that what had happened in his classroom was “a wake-up call.” Serrano, a Madrid-born economist who has been at Brown for 34 years, believes this is not enough. “That cannot be the university’s position before an incident of this magnitude. Academic integrity is a value worth defending. The faculty cannot be left on its own in a battle that is decisive if we want to preserve the future of higher education,” explains the 61-year-old professor in a telephone conversation from Providence, Rhode Island. To prevent AI from ending the prestige and utility of teaching, he feels, it is necessary to adopt a different approach: “We need to publicly admit the seriousness of the situation and open up a broad debate about the real extent of the problem.”
Serrano is considered one of the leading proponents of applying game theory—the field that earned John Nash the 1994 Nobel Prize in Economics—to the analysis of markets. After earning a bachelor’s degree in economics from Spain’s Universidad Complutense de Madrid, where he has been Doctor Honoris Causa since 2019, Serrano went on to obtain a PhD at Harvard and, after completing his studies, received several job offers. Convinced that he wanted to devote his life to research and teaching, he accepted a position at Brown, where he remains to this day. He has been the recipient of several awards, including the King of Spain Prize for Economics in 2024.
At age 17, Serrano went blind. In a matter of months, the retinal dystrophy that had dogged him since he was little, but which still allowed him to read and play soccer, took away his sight entirely. After a short-lived crisis, he decided it would not stop him. He learned Braille, and his excellent academic record opened up the doors of Harvard. “Of course it affects my life, but one shouldn’t over-dramatize. We economists understand reality as a set of people responding to optimization problems with restrictions. I view my disease simply as one more restriction that I have to deal with, and I optimize based on that,” he says.
Serrano always has an assistant in class to do the work on the whiteboard and handle the slides. Everything else, from preparing the class exercises to tutoring, as well as writing papers and books, he does by himself; recently these tasks have become easier thanks to technological progress.
This year, the economist decided that both the midterm and the final exams for his course would be of the take-home, closed-book type (there is a certain tradition of this at Ivy League schools). “It’s a very nice kind of exam, because as you’re giving students practically unlimited time to complete it, it lets you make it harder than normal, to see how far they can go.” In this case, Serrano changed some of the model assumptions they had seen in class, and asked students to demonstrate whether certain statements were true or false under the new assumptions.
The course, which he has been teaching for years, is not an easy one: it typically attracts few students, but very good ones. He has never had more than 30 students enrolled at a time, and on some occasions he had only eight. This semester, probably because of the new evaluation system, 86 students signed up for the class. The results of the midterm exam, which was administered on March 5, were extraordinary, with an average score of 96 out of 100. Forty students scored a perfect 100. The people who corrected the exams warned him about several irregularities. “Some answers contained unusual passages that coincided with results obtained after running the questions through ChatGPT,” he says.
Serrano did not void the midterm exam, but warned students that the final one, which counted for 50% of the final grade, would be held in-person. He also said that if the grade distribution was not similar to the midterm, only the final exam would be taken into account. The average score dropped to 48 out of 100. Of the 89 students who did the midterm exam, only 59 showed up for the final one. And of the 27 who did not show up, 22 had scored a perfect 100 in the midterm exam.
“The empirical evidence of fraud is overwhelming,” says the professor, who has decided to make changes for the coming academic year. First, the weekly exercises will not count towards the final grade, as these could be done with AI. Second, no more take-home exams, no matter how appropriate they would be.
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