Large research team taught AI program to read scans, and it outwitted them
Researchers taught the AI program by showing it large numbers of race-labelled images of different parts of the body, including the chest, hand and spine — with no obvious markers of race, such as skin colour or hair texture — and then sets of unlabelled images. The program identified the race in the unmarked images with more than 90 per cent accuracy, and could differentiate Black patients from white even when images were from people of the same size, age or gender.
Ghassemi believes the answer to the mystery is related to melanin, where X-rays and CT scanners detect the higher melanin content of darker skin, and embed this information in the digital image in some way that has gone unnoticed. More research will be carried out on this — but not everyone agrees with the hypothesis.Article content
By analyzing isotopes such as oxygen, strontium and sulphur from human bones, researchers can learn where a person was born and raised. They can find evidence of diseases such as osteoarthritis, trauma, infections including leprosy and syphilis, suggesting to them details about the person’s living conditions and lifestyle.Article content
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