Tech Radar

A Brown University professor just dropped a bombshell: he claims to have "overwhelming evidence" that his students have been using AI to cheat. This isn't just typical professor grumbling about students cutting corners; it's a stark revelation that shakes the foundations of academic integrity. If true, it raises alarming questions about how we assess learning in an age where technology can do the heavy lifting. Roberto Serrano, the economist behind this claim, is not throwing around accusations lightly. His findings suggest that AI tools are being used en masse, essentially flipping the script on traditional educational standards. Are we witnessing the dawn of a new era in academia, or is this just a temporary blip in the ongoing struggle between technology and education? The implications are significant, and I can't help but wonder how institutions will respond. Let’s dig into what this means for students, educators, and the very concept of learning itsel...

For over a century, Princeton trusted its students to police themselves — until AI made that trust too risky to keep. The university’s honor code, a cornerstone of campus life since 1893, allowed undergraduates to take exams unsupervised, relying on a shared commitment to integrity. But as generative AI tools became more sophisticated and accessible, faculty began observing patterns that suggested a quiet erosion of that trust — not through blatant cheating, but through subtle, hard-to-detect uses of technology during in-person assessments. On Monday, Princeton faculty voted to end the era of unproctored exams, mandating instructor presence for all in-person assessments starting this summer. Under the new policy, professors will serve as silent witnesses — observing without intervening — and will refer any suspected violations to the student-run honor committee for adjudication. The shift isn’t about punishment; it’s about preserving the integrity of a system that has long defi...