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Fairness and inclusion While equipment learning, by its pretty character, is actually a sort of statistical discrimination, the discrimination turns into objectionable when it places privileged groups at systematic advantage and certain unprivileged groups at systematic disadvantage, likely causing varied harms.
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devices should undertake predeployment testing, risk identification and mitigation, and ongoing monitoring to show that they are adhering to their intended use.
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