References

• 2019Dissecting racial bias in an algorithm used to manage the health of populations7,086 cited
• 2003Defining Uncertainty: A Conceptual Basis for Uncertainty Management in Model-Based Decision Support2,064 cited
• 2018The accuracy, fairness, and limits of predicting recidivism1,071 cited
• 2005Uncertainty and Sensitivity Analysis Techniques as Tools for the Quality Assessment of Composite Indicators975 cited
• 2020Algorithmic Fairness: Choices, Assumptions, and Definitions687 cited
• 2021Ethical Machine Learning in Healthcare635 cited
• 2021A Framework of Potential Sources of Harm Throughout the Machine Learning Life Cycle573 cited
• 2016TOWARD A CRITICAL ENVIRONMENTAL JUSTICE STUDIES343 cited
• 2020Towards a critical race methodology in algorithmic fairness295 cited
• 2010Classifying and communicating uncertainties in model-based policy analysis232 cited
• 2021Moving beyond “algorithmic bias is a data problem”181 cited
• 2020Veridical data science167 cited
• 2017Distributive Justice158 cited
• 2010Fair Air: Distributive Justice and Environmental Economics117 cited
• 2019When data justice and environmental justice meet: formulating a response to extractive logic through environmental data justice