When Machine Learning technologies are used in contexts that affect citizens, companies as
well as researchers need to be confident that there will not be any unexpected social …

Machine learning algorithms are now frequently used in sensitive contexts that substantially
affect the course of human lives, such as credit lending or criminal justice. This is driven by …

Large-scale policing data is vital for detecting inequity in police behavior and policing
algorithms. However, one important type of policing data remains largely unavailable within …

Artificial intelligence and machine learning (ML) algorithms are widely used throughout our
economy in making decisions that have far-reaching impacts on employment, education …

Importance There is no level of lead in drinking water considered to be safe, yet lead service
lines are still commonly used in water systems across the US. Objective To identify the …

Decision-makers often observe the occurrence of events through a reporting process. City
governments, for example, rely on resident reports to find and then resolve urban …

Machine learning models are often trained to predict the outcome resulting from a human
decision. For example, if a doctor decides to test a patient for disease, will the patient test …

In studies of discrimination, researchers often seek to estimate a causal effect of race or
gender on outcomes. For example, in the criminal justice context, one might ask whether …

Artificial intelligence (AI) and machine learning (ML) algorithms are widely used throughout
our economy in making decisions that have far-reaching impacts on employment, education …

A prosecutor's decision to charge or dismiss a criminal case is a particularly high-stakes
choice. There is concern, however, that these judgements may suffer from explicit or implicit …