Women have been underrepresented in medical research in the past; this, in conjunction with implicit biases women receive, can lead to a decrease in the standard of care. Artificial intelligence systems have the potential to aid in creating fairer healthcare for women; however, AI can also be biased. Human-Centred Design allows for the inclusion of clinicians who can give vital domain knowledge and personal experience. With clinicians the context in which bias can occur in women’s health can be identified and fairer systems to address these biases can be developed.