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Inspiring Collaboration: Grants empower experts to tackle environmental challenges

Inspiring Collaboration: Grants empower experts to tackle environmental challenges
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Environmental News Network - Assessing Regulatory Fairness Through Machine Learning

Assessing Regulatory Fairness Through Machine Learning
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The perils of machine learning – using computers to identify and analyze data patterns, such as in facial recognition software – have made headlines lately.
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(link is external) by Stanford researchers.
The analysis, published this week in the proceedings of the Association of Computing Machinery Conference on Fairness, Accountability and Transparency(link is external), evaluates machine learning techniques designed to support a U.S. Environmental Protection Agency (EPA) initiative to reduce severe violations of the Clean Water Act ....

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Assessing regulatory fairness through machine learning

Assessing regulatory fairness through machine learning
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