Work

Fair Algorithms for Learning in Allocation Problems

Year: 2019

Type: conference-paper

Source: ACM Conference on Fairness, Accountability, and Transparency (FAccT)

DOI: 10.1145/3287560.3287571

Authors: Hadi Elzayn, Shahin Jabbari, Christopher Jung, Michael Kearns, Seth Neel, Aaron Roth, Zachary Schutzman

Institution: University of Pennsylvania

Language: English

Topic: Ethics and Social Impacts of AI

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDGs: Peace, justice, and strong institutions, Reduced inequalities

Open Access status: closed

OpenAlex ID: W2889252776

FWCI: 3.589

Cites: 26

Cited by: 77

Related to: 10