Is it a surprise that students are using AI to cheat when they get the opportunity? I guess it does surprise some people, for a pretty clear case of cheating at Brown University made headlines at Inside Higher Ed (click on the screenshot to read).
Excerpts:
For the first time since he started teaching Welfare Economics and Social Choice Theory nearly two decades ago, Brown University economics professor Roberto Serrano gave his students a take-home midterm this spring. Quite a few students had expressed anxiety about being in a classroom after a gunman killed two students and injured nine in a December mass shooting at Brown, and so “it was appropriate,” he said, to allow students to take their exams at home.
But by the end of the semester, Serrano regretted the decision. Dozens of students in the class likely used artificial intelligence to cheat and earn perfect or near-perfect scores on their midterm, he said. Serrano in turn made the final exam in-person, which led more than a dozen students to drop the course and even more to fail it. Administrators’ response to the widespread cheating event has been “meek,” he said, and the incident has raised questions about how universities can—and should—respond to AI-enabled cheating at scale.
His welfare economics class typically attracted up to 30 students, but this spring he taught 86—an increase he attributes to the promised take-home exams. When the midterm came along, the average score was 96 percent.
“Historically the average grade in the midterm of this course has ranged between 65 and 80 [percent], and this exam was harder than the exams I wrote in the past, because … take-home is an opportunity to challenge the class a little bit more, given that you’re giving the students unlimited time,” Serrano said.
He knew something “fishy” was going on, and so he and his graders ran the test through ChatGPT. The AI gave answers that mirrored what his students had written, and which were “kind of correct, but very off and with a very convoluted style,” Serrano said. For example, one question asked students to prove a mathematical statement that could most obviously be done using a “direct argument,” Serrano explained. ChatGPT—and many of his students—used a “contradiction argument,” which gave the right answer but was “very contrived” and which Serrano could tell wasn’t written by a human.
Prof Serrano said he wasn’t going to fail students for cheating (the allegation can’t be proved) but would give them a final exam in class. At that announcement 18 students dropped the course and 9 decided not to take the final.
Here’s the distribution of scores for both exams, with the final in gray and the midterms in orange. They didn’t plot a correlation, but there doesn’t appear to be one because many of the students who did terrible on the final got nearly perfect scores on the midterm:
The University turned a blind eye to this cheating—for that’s what it surely is—until Serrano went public.
In May, Serrano submitted the data shown above to Brown’s Standing Committee on the Academic Code and received no response. After he went public with his story in late June, the committee, through his department chair, asked Serrano to submit individual complaints against each student suspected of cheating, including copies of their exams, he said.
Most people with a sense of right and wrong would find this behavior unethical, tempting though it may be to cheat, but some misguided profs think that, well, if the chance to cheat is there, there’s nothing wrong with taking it. Here’s from P.Z. Myers, who found the same results with his students.
I figured this out back during the pandemic, when by necessity I had to offer exams online. Scores shot up! I knew immediately what was going on, but I didn’t punish the students — I couldn’t blame them for taking advantage of the system.
“I couldn’t blame them for taking advantage of the system”?? That’s equivalent to telling the students, “It’s okay to cheat if you can get away with it.”
More:
Asked about the university’s response to the cheating, Brown spokesperson Brian Clark told Inside Higher Ed that the procedure for investigating cheating allegations is the same whether it’s one student or several.
“Brown treats every allegation of academic integrity with the utmost seriousness. In regard to this economics course, multiple academic leaders from Brown were in touch with the faculty member who raised concerns to provide details about how the allegations raised could be formally adjudicated. To date, the faculty member has not provided the necessary details to the Standing Committee on the Academic Code to pursue this path toward resolution,” Clark wrote.
If Brown took it seriously, why didn’t they respond to Serrano’s original complaint? Now Brown is adjusting its rules—to be easier on the students! My bolding:
As the cheating scandal unfolded in Serrano’s classroom, a Brown committee on generative AI in teaching and learning was examining how the technology was being used at the university and formalizing recommendations for how Brown can adapt and respond to AI developments. Its inaugural report was published Tuesday.
Three-quarters of Brown professors said they are concerned about students using AI to cheat, according to feedback from 105 faculty members. The same share of respondents said the same in a 2025 nationwide survey from the American Association of Colleges and Universities. As part of a set of medium-term recommendations, the committee encouraged the university to amend the College Academic Code and the graduate student code “to address GenAI realities and safeguard against misuse.”
The committee also suggests that faculty “de-emphasize punishment” and avoid highly restrictive rules around generative AI use.
There is no way to check with 100 percent accuracy whether GenAI has been employed, and norms are likely to change in the years to come,” the report states. “Moving the conversation beyond punishment also allows for open dialogue that will be necessary as Brown navigates this moment.
What is motivating this softness on cheaters, which includes relaxing bans on using AI? I can see this only as a misguided extension of the victim/oppressor narrative, with the students seen as victims. Alternatively, it could be the new mentality that sees students as customers of the university, with their high tuition buying them good grades and a degree. ChatGPT, which launched at the end of 2022, was the first program that made AI cheating widely available, and the oppressor/victim dichotomy was intensified by the killing of Geore Gloye in 202.
The problem of course is that how can you prove that a student used AI unless more than one student gives the same answer. I know there are programs to detect whether AI was used, but I also hear they’re not that good.
The only solution is to not let students have take-home exams, and ensure that in class they cannot have their laptops or phones open, or surrending them before you take the test. (I am told by one professor that students got around this by bringing two phones and then cheating on the second phone when they ask to go to the bathroom).
It would be harder to cheat in labs, for you have to actually do something like run experiments or synthesize an organic compound. I remember that in O-chem (the bane of all biology students) we had to extract caffeine from coffee, and then you were tested when the prof looked at the melting point of your caffeine when it was tested in a glass tube. That would be hard to fake with AI, though I suppose you could purchase caffeine. But if professors want to ensure that students don’t cheat, they’ll have to be creative. Recent surveys show that over 60% of college students admitted to cheating in some way, and that goes up to 95% if you consider high school.
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Here’s a tweet lauding the highest achiever and two students who apparently didn’t cheat as their midterm scores weren’t that different from their final-exam score.
Friends don’t let friends continue to give exams and papers that are not adapted to the current AI landscape (this is AFTER 27 bailed so the reality is even worse)
PS Props to students 1, 22, and 31 pic.twitter.com/3LPj66YuQT
— Brendan Nyhan (@BrendanNyhan on 🟦☁️) (@BrendanNyhan) July 8, 2026
h/t: Luana











