Among healthcare researchers, there is increasing debate over how best to assess and ensure the
fairness of algorithms used for clinical…
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Clinical prediction models (CPMs) are tools that compute the risk of an outcome given a set of patient characteristics and are routinely…
Past studies have found that racial and ethnic minorities are more likely than White drivers to be pulled over by the police for alleged…
Many topics social scientists study are sensitive in nature. Although we know some people may be reluctant to respond to sensitive…
In the dominant paradigm for designing equitable machine learning systems, one works to ensure that model predictions satisfy various…
Many scholars, engineers, and policymakers believe that algorithmic fairness requires disregarding information about certain…
Jurisdictions across the country, including the federal government through its recently enacted First Step Act, have begun using…
When we debate questions in international law, politics, and justice, we often use the language of rights—and far less often the language…