This one is hilarious:
“On average, these systems correctly identified cisgender women 98.3 percent of the time, and cisgender men 97.6 percent of the time.
Trans men, however, were incorrectly identified as women in up to 38 percent of instances. More troublingly, those who identified as agender, genderqueer or non-binary, were misclassified 100 percent of the time”
(The machines are literally smarter than we are.)