In a groundbreaking study published in PLOS One, the University of Reading has unveiled startling findings from a real-world Turing test involving AI in university exams, raising profound implications for education.

The study, led by the university's tech team, involved 33 fictitious student profiles using OpenAI's GPT-4 to complete psychology assignments and exams online. Astonishingly, 94% of AI-generated submissions went undetected by examiners, outperforming their human counterparts by achieving higher grades on average.

Associate Professor Peter Scarfe, a co-author of the study, emphasised the urgent need for educational institutions to address the impact of AI on academic integrity. He highlighted a recent UNESCO survey revealing minimal global preparation for the use of generative AI in education, calling for a reassessment of assessment practices worldwide.

Professor Etienne Roesch, another co-author, underscored the importance of establishing clear guidelines on AI usage to maintain trust in educational assessments and beyond. She stressed the responsibility of both creators and consumers of information to uphold academic integrity amid AI advancements.

The study also pointed to ongoing challenges for educators in combating AI-driven academic misconduct, even as tools like Turnitin adapt to detect AI-authored work. Despite these challenges, educators like Professor Elizabeth McCrum, the University of Reading's pro-vice chancellor of education, advocate for embracing AI as a tool for enhancing student learning and employability skills.

Looking ahead, Professor McCrum expressed confidence in the university's proactive stance in integrating AI responsibly into educational practices, preparing students for a future shaped by rapid technological change.

Why does it matter?

The IATSE's tentative agreement represents a significant step forward in securing fair wages and job protections for Hollywood's behind-the-scenes workers, ensuring that the rapid advancements in technology do not come at the expense of human employment.