Professor uses invisible text trap to identify AI-generated student submissions

An American university professor identified 32 students using AI for exam responses by embedding invisible instructions in the test document that AI models included in their output. This method highlights a growing trend of educators using adversarial prompts to detect automated academic dishonesty, though the specific university and course remain undisclosed.