Johns Hopkins Professor Says He Spots Student AI Cheating Easily After Nearly 60 Years
Updated
Updated · Yahoo! Voices · Aug 23
Johns Hopkins Professor Says He Spots Student AI Cheating Easily After Nearly 60 Years
3 articles · Updated · Yahoo! Voices · Aug 23
Summary
Steve Hanke, a Johns Hopkins applied economics professor, said AI-generated assignments are “very easy” to identify because they often exceed a student’s usual writing ability and economics knowledge.
Nearly 60 years of teaching have given Hanke a baseline for students’ skills, he said, making chatbot-written work stand out as “blatant” when it does not match prior performance.
Drusilla Blackman, a former Harvard and Columbia admissions dean, backed that view, saying educators can usually detect AI use when submissions diverge from a student’s normal writing and critical thinking.
AI’s spread is still pushing teachers to adapt: some told Business Insider last year they were designing AI-resistant assignments and even returning to handwritten work to deter chatbot use.