2 Sources
2 Sources
[1]
Their Professors Caught Them Cheating. They Used A.I. to Apologize.
Confronted with allegations that they had cheated in an introductory data science course and fudged their attendance, dozens of undergraduates at the University of Illinois Urbana-Champaign recently sent two professors a mea culpa via email. But there was one problem, a glaring one: They had not written the emails. Artificial intelligence had, according to the professors, Karle Flanagan and Wade Fagen-Ulmschneider, an academic pair known to their students and social media followers as the Data Science Duo. The students got their comeuppance in a large lecture hall on Oct. 17, when the professors read aloud their identical, less-than-genuine apologies from a projector screen, video from that class showed. Busted. The professors posted about it on social media, where the gotcha moment drew widespread attention. "They said, 'Dear Professor Flanagan, I want to sincerely apologize,'" Professor Flanagan said. "And I was like, Thank you. They're owning up to it. They're apologizing. And then I got another email, the second email, and then the third. And then everybody sort of sincerely apologizing, and suddenly it became a little less sincere." At a time when educational institutions are grappling with the intrusion of machine learning into classrooms and homework assignments, the professors said they decided to use the episode to teach a lesson in academic integrity. They did not take disciplinary action against the students. "You can hear the students laugh in the background of the video," Professor Fagen-Ulmschneider said. "They knew that it was something that they could see themselves doing." It was not clear if the University of Illinois would punish the students who were involved. The university did not immediately respond to a request for comment on Wednesday. Although the university's student code covers cheating and plagiarism, the professors said that they were not aware of specific rules applying to the use of A.I. About 1,200 students take the course, which is divided into two sections that meet on Monday, Wednesday and Friday. Attendance and participation in the lectures count for 4 percent of the final grade in the class, which is primarily taken by first-year students. To track the engagement of the class, the professors created an application known as the Data Science Clicker that requires students to log in on their phones or computers and, when prompted by a QR code, answer a multiple-choice question in certain amount of time, usually about 90 seconds. But in early October, the professors said they began to grow suspicious when dozens of students who were absent from class were still answering the questions. So the teachers said they started checking how many times students refreshed the site and the IP addresses of their devices, and began reviewing server logs. "Sometimes on Fridays, some students will go up to Chicago," said Professor Fagen-Ulmschneider, 40, a teaching professor in the Siebel School of Computing and Data Science. It appeared that the students had been tipped off about the questions and when they had to respond, according to the professors, who sent emails to more than 100 students telling them that the ruse was up. "We take academic integrity very seriously here, so we wanted to make sure to give them a warning," said Professor Flanagan, 36, a teaching associate professor in the Department of Statistics. Alex Von Holten, 20, a sophomore who took the class in the spring semester this year, said he wasn't surprised to learn that some students had been "sleepwalking" through it. The format, a large lecture with introductory material, might lead some people to slack off, he said. "It's really hard not to get an A in that class," Mr. Von Holten said. To do worse, he added, "you have to genuinely just not show up and not care." Vinayak Bagdi, 21, who graduated in May with a degree in statistics, took the class as a freshman to fulfill his academic requirements. Four years later, he said, the professors' dedication to demystifying statistics had stuck with him. He said he never felt bombarded with information or too lost to keep up with assignments in the class, and he described the professors as being heavily invested in the success of students. That made it especially disheartening that some students had used A.I., Mr. Bagdi said. "You're not even coming to the class, and then you can't even send a sincere email to the professor saying, 'I apologize'?" he said. "Out of any class at the university, why skip that one?"
[2]
Their professors caught them cheating. They used AI to apologise.
University of Illinois Urbana-Champaign professors discovered students used artificial intelligence to write apologies for cheating and faking attendance. The professors revealed the AI-generated messages in a lecture, teaching a lesson on academic integrity. No disciplinary action was taken against the students. The incident highlights the growing challenge of AI in education. Confronted with allegations that they had cheated in an introductory data science course and fudged their attendance, dozens of undergraduates at the University of Illinois Urbana-Champaign recently sent two professors a mea culpa via email. But there was one problem, a glaring one: They had not written the emails. Artificial intelligence had, according to the professors, Karle Flanagan and Wade Fagen-Ulmschneider, an academic pair known to their students and social media followers as the Data Science Duo. The students got their comeuppance in a large lecture hall Oct. 17, when the professors read aloud their identical, less-than-genuine apologies from a projector screen, video from that class showed. Busted. The professors posted about it on social media, where the gotcha moment drew widespread attention. "They said, 'Dear Professor Flanagan, I want to sincerely apologize,'" Flanagan said. "And I was like, Thank you. They're owning up to it. They're apologizing. And then I got another email, the second email, and then the third. And then everybody sort of sincerely apologizing, and suddenly it became a little less sincere." At a time when educational institutions are grappling with the intrusion of machine learning into classrooms and homework assignments, the professors said they decided to use the episode to teach a lesson in academic integrity. They did not take disciplinary action against the students. "You can hear the students laugh in the background of the video," Fagen-Ulmschneider said. "They knew that it was something that they could see themselves doing." It was not clear if the University of Illinois would punish the students who were involved. The university did not immediately respond to a request for comment Wednesday. Although the university's student code covers cheating and plagiarism, the professors said that they were not aware of specific rules applying to the use of AI. About 1,200 students take the course, which is divided into two sections that meet Monday, Wednesday and Friday. Attendance and participation in the lectures count for 4% of the final grade in the class, which is primarily taken by first-year students. To track the engagement of the class, the professors created an application known as the Data Science Clicker that requires students to log in on their phones or computers and, when prompted by a QR code, answer a multiple-choice question in a certain amount of time, usually about 90 seconds. But in early October, the professors said they began to grow suspicious when dozens of students who were absent from class were still answering the questions. So the teachers said they started checking how many times students refreshed the site and the IP addresses of their devices, and began reviewing server logs. "Sometimes on Fridays, some students will go up to Chicago," said Fagen-Ulmschneider, 40, a teaching professor in the Siebel School of Computing and Data Science. It appeared that the students had been tipped off about the questions and when they had to respond, according to the professors, who sent emails to more than 100 students telling them that the ruse was up. "We take academic integrity very seriously here, so we wanted to make sure to give them a warning," said Flanagan, 36, a teaching associate professor in the Department of Statistics. Alex Von Holten, 20, a sophomore who took the class in the spring semester this year, said he wasn't surprised to learn that some students had been "sleepwalking" through it. The format, a large lecture with introductory material, might lead some people to slack off, he said. "It's really hard not to get an A in that class," Von Holten said. To do worse, he added, "you have to genuinely just not show up and not care." Vinayak Bagdi, 21, who graduated in May with a degree in statistics, took the class as a freshman to fulfill his academic requirements. Four years later, he said, the professors' dedication to demystifying statistics had stuck with him. He said he never felt bombarded with information or too lost to keep up with assignments in the class, and he described the professors as being heavily invested in the success of students. That made it especially disheartening that some students had used AI, Bagdi said. "You're not even coming to the class, and then you can't even send a sincere email to the professor saying, 'I apologize'?" he said. "Out of any class at the university, why skip that one?" This article originally appeared in The New York Times.
Share
Share
Copy Link
University of Illinois professors discovered students used AI to generate apology emails after being caught cheating on attendance. The incident highlights growing challenges of AI misuse in academic settings and raises questions about academic integrity policies.

In what may be one of the most ironic academic integrity violations in recent memory, dozens of University of Illinois Urbana-Champaign students found themselves caught in a web of their own making. After being confronted with allegations of cheating in an introductory data science course and fabricating their attendance records, the students attempted to make amends through email apologies to their professors. However, their efforts to demonstrate contrition backfired spectacularly when it became clear that artificial intelligence had authored their supposedly heartfelt messages
1
.Professors Karle Flanagan and Wade Fagen-Ulmschneider, known to their students and social media followers as the "Data Science Duo," discovered the AI-generated nature of the apologies when they began receiving nearly identical emails from multiple students. The repetitive language and similar structure immediately raised red flags about the authenticity of the messages .
Rather than handling the matter privately, the professors decided to transform the incident into a powerful educational experience. On October 17, during a packed lecture hall session, they projected the AI-generated apology emails onto screens and read them aloud to the entire class. The moment, captured on video and later shared on social media, showed students laughing as they recognized the familiar pattern of artificial responses
1
."They said, 'Dear Professor Flanagan, I want to sincerely apologize,'" Professor Flanagan recalled. "And I was like, Thank you. They're owning up to it. They're apologizing. And then I got another email, the second email, and then the third. And then everybody sort of sincerely apologizing, and suddenly it became a little less sincere"
2
.The professors chose not to pursue disciplinary action against the students involved, instead using the incident as a teachable moment about academic integrity in the age of artificial intelligence.
The saga began when the professors grew suspicious about attendance patterns in their course, which serves approximately 1,200 students across two sections meeting three times weekly. The class uses a custom application called the "Data Science Clicker" that requires students to log in via their phones or computers and answer multiple-choice questions prompted by QR codes within a 90-second timeframe. Attendance and participation account for 4 percent of the final grade
1
.In early October, the professors noticed an alarming trend: dozens of students who were physically absent from class were somehow still answering the engagement questions. This discovery prompted them to investigate further by examining server logs, tracking IP addresses, and monitoring how frequently students refreshed the application. Their investigation revealed that absent students were being tipped off about questions and response timing, allowing them to participate remotely while maintaining the appearance of classroom attendance
2
.Related Stories
This incident reflects the growing challenges educational institutions face as artificial intelligence becomes increasingly sophisticated and accessible to students. While the University of Illinois student code addresses traditional forms of cheating and plagiarism, the professors noted they were unaware of specific policies governing AI use in academic communications
1
.The case has sparked discussions about the need for updated academic integrity policies that specifically address artificial intelligence misuse. As Professor Fagen-Ulmschneider observed, students in the lecture hall could relate to the situation, suggesting that AI-assisted academic dishonesty may be more widespread than previously recognized.
Former students of the course expressed disappointment about the incident, particularly given the professors' reputation for being invested in student success. Vinayak Bagdi, a 2024 statistics graduate, questioned the logic behind the students' actions: "You're not even coming to the class, and then you can't even send a sincere email to the professor saying, 'I apologize'?"
2
.Summarized by
Navi
[1]
[2]