‘Online exams are now a waste of time’: Top UC Berkeley professor calls time on homework grades as students are increasingly cheating using AI
Share this article
Join the conversation
- Berkeley professor Richard Borcherds says he no longer grades homework
- The renowned mathematician stated that it is amost impossible to spot a human written submission among those created with AI
- Grading in Borcherds’ classes are now conducted with in-person exams, completed without resorting to electronic devices
Professor Richard Borcherds of the University of California, Berkeley, has revealed he has abandoned grading homework for his math students.
The decision appears to have been made following an improvement in AI-produced homework, which has left educators unable to spot human-penned submissions from those completed using AI.
British-born Borcherds – whose award-winning work includes infinite-dimensional algebras and is currently researching quantum field theory – has determined that his students will be assessed using traditional exams, without reliance on electronic devices.
Latest Videos FromTechRadar
The decision follows Berkeley’s previous evaluation of AI detection software that it found was unreliable, and prompted the university to allow professors to formulate their own AI policies within the course syllabus.
“Grading for correctness”
AI has changed the game as far as educators are concerned. While some appear content to let students submit work produced however they see fit, others are taking a more determined approach. Professor Borcherds has clearly seen a change in scores as the use of AI among his math students has increased.
“Online exams are now a waste of time as several students just use AI to answer the questions. I cannot tell which students are using AI, but I notice the average score increases a lot in online exams.”
Borcherds explained that what he calls “grading for correctness” essentially pushes students towards using AI. They’re employing a tool that can be guaranteed to produce the correct answer.
Sign up to the TechRadar Pro newsletter to get all the top news, opinion, features and guidance your business needs to succeed!
“Grading for correctness just adds a huge incentive for them to use AI for homework instead of doing it themselves and penalizes students for honesty. And paying to grade AI generated answers is a waste of time and money.”
Difficult assessments
Other educators have expressed similar concerns about AI, although to date none seem to have taken Borcherds more traditional stance on the technology. Some have found, however, that giving students the time and space to use AI has skewed their results, and limiting access to the technology provides more realistic grades.
Berkeley has previous explored the use of AI detection and found it lacking. By putting its professors in charge of determining departmental expectations of AI use in students, the university has given its educators the power to expect better from their students.
Professor Borcherds could be set to lead the way on this, and perhaps once this story attracts attention, more educators will take a stronger view of AI assistance in homework and assessments.
Via New York Post

Follow TechRadar on Google News and add us as a preferred source to get our expert news, reviews, and opinion in your feeds.
Source
Share this article Join the conversation Follow us Add us as a preferred source on Google Newsletter Subscribe to our newsletter Berkeley professor Richard Borcherds says he no longer grades homework The renowned mathematician stated that it is amost impossible to spot a human written submission among those created with…
Recent Posts
- Foxconn reveals bid to grab 50% of the global AI server market within the next few years
- My therapist thinks I should chuck the Amazon Bee Frontier out a window
- Small Phones Have Vanished. Enough Phone Wants to Bring Them Back
- God of War Laufey is delayed until May 20
- God of War Laufey delayed until May
Archives
- November 2026
- October 2026
- September 2026
- August 2026
- July 2026
- June 2026
- May 2026
- April 2026
- March 2026
- February 2026
- January 2026
- December 2025
- November 2025
- October 2025
- September 2025
- August 2025
- July 2025
- June 2025
- May 2025
- April 2025
- March 2025
- February 2025
- January 2025
- December 2024
- November 2024
- October 2024
- September 2024
- August 2024
- July 2024
- June 2024
- May 2024
- April 2024
- March 2024
- February 2024
- January 2024
- December 2023
- November 2023