Study highlights just how poor AIs are at recognising non-cisgender people
A study conducted by the University of Colorado Boulder has revealed just how bad AIs are at recognising non-cisgender people.
The worrying problems AIs have with recognising racial minorities are becoming increasingly well-documented, but this new study is among the first to evaluate gender classifications.
AI systems categorise people based on what they can “see” and often use stereotypical parameters (e.g. males don’t have long hair, females don’t have facial...