Gender recognition

AI technology that attempts to infer a person's gender from visual features such as facial characteristics, body shape, or voice. Gender recognition systems are controversial in accessibility contexts because they typically enforce binary gender classifications, frequently misgender transgender and non-binary individuals, and rely on physical features that do not reliably indicate gender identity. While some camera-based assistive technologies include gender information to help people with visual impairments identify others, research shows that both users and bystanders have significant concerns about the accuracy and appropriateness of automated gender inference, particularly for marginalized groups who may be harmed by mischaracterization.