
Brown professor exposes widespread AI cheating on exams
Hacker News·2h·geox
A Brown University professor documented systematic use of AI tools to complete exam work, raising questions about detection and enforcement at scale. For indie makers building in education tech, this signals growing demand for robust proctoring and authenticity verification—but also highlights the cat-and-mouse nature of the problem.
Original story
Read the original on Hacker NewsRelated stories
AI
Drift lets you write LLM agents in plain English, then transpile to async PythonHacker News Show HN·2h·rileyq12
AI
use-zerostack: a lightweight coding agent you can delegate tasks toHacker News Show HN·2h·gidellav