Search Results for author: Kit T. Rodolfa

Found 5 papers, 2 papers with code

An Empirical Comparison of Bias Reduction Methods on Real-World Problems in High-Stakes Policy Settings

no code implementations13 May 2021 Hemank Lamba, Kit T. Rodolfa, Rayid Ghani

Applications of machine learning (ML) to high-stakes policy settings -- such as education, criminal justice, healthcare, and social service delivery -- have grown rapidly in recent years, sparking important conversations about how to ensure fair outcomes from these systems.

Fairness

Empirical observation of negligible fairness-accuracy trade-offs in machine learning for public policy

no code implementations5 Dec 2020 Kit T. Rodolfa, Hemank Lamba, Rayid Ghani

Growing use of machine learning in policy and social impact settings have raised concerns for fairness implications, especially for racial minorities.

Fairness

Case Study: Predictive Fairness to Reduce Misdemeanor Recidivism Through Social Service Interventions

1 code implementation24 Jan 2020 Kit T. Rodolfa, Erika Salomon, Lauren Haynes, Ivan Higuera Mendieta, Jamie Larson, Rayid Ghani

The criminal justice system is currently ill-equipped to improve outcomes of individuals who cycle in and out of the system with a series of misdemeanor offenses.

Decision Making Fairness

A Clinical Approach to Training Effective Data Scientists

no code implementations15 May 2019 Kit T. Rodolfa, Adolfo De Unanue, Matt Gee, Rayid Ghani

Like medicine, psychology, or education, data science is fundamentally an applied discipline, with most students who receive advanced degrees in the field going on to work on practical problems.

Aequitas: A Bias and Fairness Audit Toolkit

2 code implementations14 Nov 2018 Pedro Saleiro, Benedict Kuester, Loren Hinkson, Jesse London, Abby Stevens, Ari Anisfeld, Kit T. Rodolfa, Rayid Ghani

Recent work has raised concerns on the risk of unintended bias in AI systems being used nowadays that can affect individuals unfairly based on race, gender or religion, among other possible characteristics.

Decision Making Fairness

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