Work

Implications of AI (un-)fairness in higher education admissions

Year: 2020

Type: conference-paper

Study design: Observational Study

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

DOI: 10.1145/3351095.3372867

Authors: Frank Marcinkowski, Kimon Kieslich, Christopher Starke, Marco Lünich

Institution: Heinrich Heine University Düsseldorf

Language: English

Topic: Ethics and Social Impacts of AI

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

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

Open Access status: closed

Funder: Volkswagen Foundation

Award: G4137008247

OpenAlex ID: W3002654242

FWCI: 6.478

Cites: 32

Cited by: 179

Related to: 10