Sex Trouble: Common pitfalls in incorporating sex/gender in medical machine learning and how to avoid them

Kendra Albert, Maggie Delano

False assumptions about sex and gender are deeply embedded in the medical system, including that they are binary, static, and concordant. Machine learning researchers must understa…