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Ranking with Slot Constraints
We introduce the problem of ranking with slot constraints, which can be used to model a wide range of application problems -- from college admission with limited slots for different majors, to composing a stratified cohort of eligible participants in a medical trial.
Augmenting Holistic Review in University Admission using Natural Language Processing for Essays and Recommendation Letters
University admission at many highly selective institutions uses a holistic review process, where all aspects of the application, including protected attributes (e. g., race, gender), grades, essays, and recommendation letters are considered, to compose an excellent and diverse class.
Comparing Human and Machine Bias in Face Recognition
Much recent research has uncovered and discussed serious concerns of bias in facial analysis technologies, finding performance disparities between groups of people based on perceived gender, skin type, lighting condition, etc.
