Aston sought medical help after her symptoms—which included severe migraines, abdominal pain, joint dislocations, easy bruising, iron deficiency, fainting, tachycardia, and multiple injuries—began in 2015, per the New Zealand Herald. She was referred to Auckland Hospital, where a doctor accused her of causing her own illness. Because of his accusations, Aston was placed on psychiatric watch.
Research suggests women are often much more likely to be misdiagnosed than men. A 2009 study of patients with heart disease symptoms found 31.3 per cent of middle-aged women “received a mental health condition as the most certain diagnosis”, compared to just 15.6 per cent of their male counterparts. Additionally, a 2020 study found that as many as 75.2 per cent of patients with endometriosis—a painful disorder that affects the tissue of the uterus—had been misdiagnosed after they started experiencing endometriosis symptoms. Among those women, nearly 50 per cent were told they had a “mental health problem”.
Unfortunately, AI is only as good as it’s training data. If there are biases in the training data, those biases shine through later.
AI is interesting but not a silver bullet.
Hit the nail on the head. There’s a really good book ‘Weapons of Math Destruction’ that goes into it.
Also most AI systems are not only susceptible to existing biases, but they have a nasty habit of coming up with wild new, and often very creative, biases of their own due to their reliance on random sampling and statistical modeling.