2 citations · 4 across the 4 of their papers we have counts for
4 papers
Algorithmic Bias in Lending: Evidence from a Fintech Audit
Madison Coots, Robert Bartlett, Julian Nyarko +1
Algorithmic lending has transformed the consumer credit landscape, with machine learning models commonly facilitating underwriting decisions. To comply with fair lending laws, thes…
Automated Reminders Reduce Incarceration for Missed Court Dates: Evidence from a Text Message Experiment
Alex Chohlas-Wood, Madison Coots, Joe Nudell +4
Millions of Americans must attend mandatory court dates every year. To boost appearance rates, jurisdictions nationwide are increasingly turning to automated reminders, but previou…
Risk Scores, Label Bias, and Everything but the Kitchen Sink
Michael Zanger-Tishler, Julian Nyarko, Sharad Goel
In designing risk assessment algorithms, many scholars promote a "kitchen sink" approach, reasoning that more information yields more accurate predictions. We show, however, that t…
Designing Equitable Algorithms
Alex Chohlas-Wood, Madison Coots, Sharad Goel +1
Predictive algorithms are now used to help distribute a large share of our society's resources and sanctions, such as healthcare, loans, criminal detentions, and tax audits. Under…