Illegal treatment of a person or group (either intentional or unintentional) on the basis of race, color, national origin, religion, sex, gender, gender expression, gender identity, physical or mental disability, medical condition (cancer-related or genetic characteristics), genetic information (including family medical history), ancestry, marital status, age (over 40), sexual orientation, citi...

This paper first shows that when colleges’ preferences are substitutable there does not exist any stable matching mechanism that makes truthful revelation of preferences a dominant strategy for every student. The paper introduces student types and captures colleges’ preferences for affirmative action via type-specific quotas: A college always prefers a set of students that respects its type-spe...

Illegal treatment of a person or group (either intentional or unintentional) on the basis of race, color, national origin, religion, sex, gender, gender expression, gender identity, physical or mental disability, medical condition (cancer-related or genetic characteristics), genetic information (including family medical history), ancestry, marital status, age (over 40), sexual orientation, citi...

Illegal treatment of a person or group (either intentional or unintentional) on the basis of race, color, national origin, religion, sex, gender, gender expression, gender identity, physical or mental disability, medical condition (cancer-related or genetic characteristics), genetic information (including family medical history), ancestry, marital status, age (over 40), sexual orientation, citi...

Illegal treatment of a person or group (either intentional or unintentional) on the basis of race, color, national origin, religion, sex, gender, gender expression, gender identity, physical or mental disability, medical condition (cancer-related or genetic characteristics), genetic information (including family medical history), ancestry, marital status, age (over 40), sexual orientation, citi...

Illegal treatment of a person or group (either intentional or unintentional) on the basis of race, color, national origin, religion, sex, gender, gender expression, gender identity, physical or mental disability, medical condition (cancer-related or genetic characteristics), genetic information (including family medical history), ancestry, marital status, age (over 40), sexual orientation, citi...

Illegal treatment of a person or group (either intentional or unintentional) on the basis of race, color, national origin, religion, sex, gender, gender expression, gender identity, physical or mental disability, medical condition (cancer-related or genetic characteristics), genetic information (including family medical history), ancestry, marital status, age (over 40), sexual orientation, citi...

Algorithmic risk assessments hold the promise of greatly advancing accurate decision-making, but in practice, multiple real-world examples have been shown to distribute errors disproportionately across demographic groups. In this paper, we characterize why error disparities arise first place. We show that predictive uncertainty often leads classifiers systematically disadvantage groups with low...