AI technologies are being used to improve diagnosis within the healthcare system, by spotting early signs of disease, and determining the severity of patient needs. However, patients from marginalised groups are at risk of being misdiagnosed, and underserved in healthcare, as racially biased algorithms are less effective for non-white patients.
Artificial intelligence can help tackle the covid-19 pandemic, but bias and discrimination in its design and deployment risk exacerbating existing health inequity argue David Leslie and colleagues. Among the most damaging characteristics of the covid-19 pandemic has been its disproportionate effect… A team of medical ethics researchers are arguing that bias and discrimination within AI […]
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The double-edged sword of AI with bias; on the one hand it could treat every patient objectively and reduce bias, and on the other could impact certain patient populations adversely by using non-representative data. This video examines the potential of AI in reducing biases within medical diagnosis, by using AI technologies to understand how diseases […]
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