Even with their in-depth knowledge of language patterns, their reasons for classifications often missed the mark. The study raises questions about AI’s role in academia and the need for improved detection tools.
Linguistics experts struggle to differentiate between writing created by artificial intelligence and humans, according to recent research co-authored by a University of South Florida professor.
Published in the ScienceDirect journal “Research Methods in Applied Linguistics,” the study revealed that top linguistic experts could only distinguish AI-generated abstracts from human-written ones less than 39% of the time.
