If AI were to be used to diagnose neurodivergence, such as autism, it would be far less reliable for those who fall outside of the normative framework — white and assigned male at birth. Because machine learning models are trained on already existing data, they would merely replicate and perpetuate biased diagnostic metrics. If there were no trained human psychiatrist present to assist with the diagnosis, this could lead to a higher number of false negative diagnoses for autistic individuals across different races, classes, genders, and ethnicities.