In a new review, Yale researchers provide an in-depth analysis of how biases at different stages of AI development can lead to poor clinical outcomes and exacerbate health disparities. The authors say their results reflect an old adage in the computing world: “Garbage in, garbage out.”
‘Bias in, bias out’: Study identifies bias in medical AI
