8 citations · 13 across the 5 of their papers we have counts for
5 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…
Reevaluating the Role of Race and Ethnicity in Diabetes Screening
Madison Coots, Soroush Saghafian, David Kent +1
There is active debate over whether to consider patient race and ethnicity when estimating disease risk. By accounting for race and ethnicity, it is possible to improve the accurac…
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…
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…
Learning to be Fair: A Consequentialist Approach to Equitable Decision-Making
Alex Chohlas-Wood, Madison Coots, Henry Zhu +2
In an attempt to make algorithms fair, the machine learning literature has largely focused on equalizing decisions, outcomes, or error rates across race or gender groups. To illust…