Failing grades soar as professors see greater AI usage, dwindling math skills in UC Berkeley computer science classes

UC Berkeley computer science professors are watching their grade distributions plummet as artificial intelligence becomes a crutch rather than a tool, with students increasingly unable to solve fundamental math problems without algorithmic assistance. The trend suggests that widespread AI adoption may be eroding the very technical foundation that computer science education is meant to build, raising questions about whether universities are equipping students with skills or merely training them to prompt algorithms. As elite institutions grapple with this paradox—where access to powerful AI simultaneously democratizes and potentially undermines rigorous technical training—the grading crisis at one of the nation's top engineering schools signals a broader reckoning ahead.

Daily Cal·Jun 4