The perils of machine learning—using computers to identify and analyze data patterns, such as in facial recognition software—have made headlines lately. Yet the technology also holds promise to help enforce federal regulations, including those related to the environment, in a fair, transparent way, according to a new study by Stanford researchers.
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Assessing regulatory fairness through machine learning
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