Author: Celeste Rodriguez Louro, Chair of Linguistics and Director of Language Lab, The University of Western Australia

Earlier this year, a Hong Kong finance worker was tricked into paying US$25 million to scammers who had used deepfake technology to pretend to be the company’s chief financial officer in a video conference call. Thinking the images on screen were his colleagues, the financier authorised the multi-million dollar transfer to fraudsters posing as friends. It’s a dramatic example, but the bamboozled office worker was far from alone in being fooled by generative AI. This technology, which relies heavily on large language models trained on vast amounts of data to learn and predict the patterns of language, has become increasingly…