Work

An information theoretic approach to reducing algorithmic bias for machine learning

Year: 2022

Type: article

Source: Neurocomputing

DOI: 10.1016/j.neucom.2021.09.081

Authors: Jin-Young Kim, Sung-Bae Cho

Institution: Yonsei University

Language: English

Topic: Ethics and Social Impacts of AI

Subfield: Safety Research

Field: Social Sciences

Domain: Social Sciences

SDG: Reduced inequalities

Open Access status: closed

Funder: Institute for Information and Communications Technology Promotion

OpenAlex ID: W4280570554

FWCI: 6.377

Cites: 97

Cited by: 27

Related to: 10