Pin Lean is an invited expert at this roundtable symposium, with other experts working at the nexus of feminist / queer theory, health and medicine, and technology / AI, to critically discuss current developments and concerns pertaining to the use of AI for medical gender equity.

In recent history, biomedical research has focused primarily on men, resulting in poorer health care for women and for non-binary, transgender and intersex people. Efforts to mitigate this bias are ongoing, but these continue to face the challenge of addressing diversity without essentializing. All too often, sex differences are still conceptualized as a strict binary, in isolation from gender, and without intersectional awareness. The use of AI techniques to advance medical equity must also grapple with this challenge. In particular, if medical AI is used to study gender/sex differences we must have a critical understanding of how human categories are understood and can become reified when such techniques are used, and what the implications of this might be both within and beyond the realm of health and medicine.