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1 Ergebnisse
1
Applying a Trustworthy AI Framework to Mitigate Bias and In..:
, In:
2022 IEEE International Symposium on Technology and Society (ISTAS)
,
Liu, Xiang Michelle
;
Murphy, Diane
- p. 1-5 , 2022
Link:
https://doi.org/10.1109/ISTAS55053.2022.10227119
RT T1
2022 IEEE International Symposium on Technology and Society (ISTAS)
: T1
Applying a Trustworthy AI Framework to Mitigate Bias and Increase Workforce Gender Diversity
UL https://suche.suub.uni-bremen.de/peid=ieee-10227119&Exemplar=1&LAN=DE A1 Liu, Xiang Michelle A1 Murphy, Diane YR 2022 SN 2158-3412 K1 Training K1 Ethics K1 Gender equity K1 Shape K1 Software K1 Regulation K1 Artificial intelligence K1 Artificial intelligence (AI) K1 bias K1 trustworthy K1 gender equity K1 diversity K1 workforce SP 1 OP 5 LK http://dx.doi.org/https://doi.org/10.1109/ISTAS55053.2022.10227119 DO https://doi.org/10.1109/ISTAS55053.2022.10227119 SF ELIB - SuUB Bremen
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