Air quality in the USA

By Elizabeth Mannshardt, Liz Naess. 2018

7 citations recorded by the source corpus.

Elizabeth Mannshardt and Liz Naess explain how the US Environmental Protection Agency uses statistics to assess risks and trends in air pollution, to inform both environmental policy and the public

Subfields: Atmospheric Science, Global and Planetary Change, Health, Toxicology and Mutagenesis

Citations in the corpus

• Please Stop Explaining Black Box Models for High Stakes Decisions (2018, neutral): “The Environmental Protection Agency’s free, vigorously-tested air quality index would have provided a reliable result [Mannshardt and Naess, 2018].”
• Globally-Consistent Rule-Based Summary-Explanations for Machine Learning Models: Application to Credit-Risk Evaluation (2019, unknown): “A class of algorithms (for instance, the popular LIME algorithm Ribeiro et al. (2016)) randomly perturb the explained observation and use the perturbations to train a local model which approximates the global model. These explanations, however, are not necessarily accurate, nor globally consistent, ”