There are a lot of examples. In healthcare, we can use AI to help eliminate racial, ethnic or gender bias by combining datasets that might include the types of treatments offered, imaging (like MRIs,) clinical research, demographics and more. These are large and complicated datasets that human experts would struggle to interpret, but we can use them to identify disparities in outcomes and eliminate them.
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