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1 Ergebnisse
1
Algorithmic Stereotypes : Implications for Fairness of G..:
, In:
Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society
,
McNamara, Daniel
- p. 535-536 , 2019
Link:
https://dl.acm.org/doi/10.1145/3306618.3314312
RT T1 <cTitle>Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society</cTitle>: T1 <Title>Algorithmic Stereotypes : Implications for Fairness of Generalizing from Past Data</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3314312&Exemplar=1&LAN=DE A1 McNamara, Daniel PB ACM YR 2019 K1 fairness K1 machine learning K1 stereotypes K1 Social and professional topics K1 Professional topics K1 Computing and business K1 Socio-technical systems K1 Computing methodologies K1 Machine learning K1 Theory of computation K1 Theory and algorithms for application domains K1 Machine learning theory K1 User characteristics K1 Race and ethnicity SP 535 OP 536 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3306618.3314312 DO https://dl.acm.org/doi/10.1145/3306618.3314312 SF ELIB - SuUB Bremen
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