Assessing Regulatory Fairness Through Machine Learning
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. Map of U.S. wastewater treatment facilities with general permits (orange) intended to cover multiple dischargers engaged in similar activities and individual permits (blue) that cover a specific facility. Individual states assign the permits based on different classifications. A national regulatory initiative to reduce pollution in…
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