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Machine Learning and Fairness: Applications in Lending, Benefits, and Clinical Decision-Making
Saturday, November 7, 10:15 to 11:45am, Property: Boston Marriott Copley Place, Floor: 5th Floor, Room: MaineSession Submission Type: Student Research Panel
Policy Area
Chair
Individual Presentations
A Profit-Based Measure of Lending Discrimination - Presenting Author: Madison Elisse Coots, Harvard University
Improving Clinical Decision Utility beyond XGBoost using Variance Adaptive Gradient Boosted Bootstrap Modeling (VAGBBM) - Presenting Author: Graham Zulu, University of Denver
Measuring Disparate Impact in Human and Machine Decisions - Presenting Author: Johann Demetrio Gaebler, New York University
Using Machine Learning Algorithms to Identify Highflyers in an Income Support Program: Evidence from Zambia - Presenting Author: Christian Kwaku Osei, University of North Carolina at Chapel Hill