Large language models such as ChatGPT recognise widespread myths about the human brain better than many educators. However, if false assumptions are embedded into a lesson scenario, artificial intelligence (AI) does not reliably correct them. These were the findings of an international study that included psychologists from Martin Luther University Halle-Wittenberg (MLU). The researchers attribute this behaviour to the fundamental nature of AI models: they act as people pleasers. However, this problem can be solved by a simple trick. The study was published in the journal “Trends in Neuroscience and Education”.

Mount Sinai researchers have demonstrated the effectiveness of teaching surgical trainees a difficult procedure using artificial intelligence (AI) algorithms and an extended-reality headset without the presence of an instructor. All of the 17 trainees in the study achieved surgical success. The novel study, published in Journal of Medical Extended Reality, drew highly favorable reviews from student participants who tested the deep learning model. The results carry significant implications for future training of residents and surgeons, as well as for the even broader field of autonomous learning within medicine.