Assessing regulatory fairness through machine learning
stanford.edu
Assessing regulatory fairness through machine learning
Applying machine learning to a U.S. Environmental Protection Agency initiative reveals how key design elements determine what communities bear the burden of pollution. The approach could help ensure fairness and accountability in machine learning used by government regulators.
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