Using AI to identify wildlife reveals a potential "transferability crisis," researchers say. Marketing for AI imaging systems often suggests that models can easily tackle novel scenarios across ecosystems and settings, much in the same way as human observers. But in a new article, two University of Exeter researchers argue that this is based on a "flawed assumption." They use examples from species identification and diagnostic imaging to illustrate this.
