Generative artificial intelligence (AI) is trained on enormous bodies of text, video and images to identify patterns. It then creates new texts, videos and images on the basis of this pattern identification. Thanks to machine learning, it improves its ability to do so every time it is used.
As AI becomes embedded in academic life, a troubling reality has emerged: students are extremely vulnerable to its use. They don’t know enough about what AI is to be alert to its shortcomings. And they don’t know enough about their subject content to make judgements on this anyway. Most importantly, they don’t know what they don’t know.
As two academics involved in higher education teaching, we argue that there are four key dangers facing students in today’s world of AI. They are:
