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Attempts to fix clinical prediction algorithms to make them fair also make them less accurate.
Attempts to fix clinical prediction algorithms to make them fair also make them less accurate.
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Algorithmic Monoculture is the widespread use by many different organizations of identical or very similar AI programs, algorithms, or training data. This sameness creates a significant risk because a mistake, bias, or other weakness in the shared technology can affect many systems or organizations. For example, if several banks use the same program to decide on loan applications, a hidden bias in that program could cause each bank to unfairly reject applicants from similar backgrounds.
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Attempts to fix clinical prediction algorithms to make them fair also make them less accurate.
Attempts to fix clinical prediction algorithms to make them fair also make them less accurate.