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1 Ergebnisse
1
Expanding Explainability: Towards Social Transparency in AI..:
, In:
Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems
,
Ehsan, Upol
;
Liao, Q. Vera
;
Muller, Michael
.. - p. 1-19 , 2021
Link:
https://dl.acm.org/doi/10.1145/3411764.3445188
RT T1
Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems
: T1
Expanding Explainability: Towards Social Transparency in AI systems
UL https://suche.suub.uni-bremen.de/peid=acm-3445188&Exemplar=1&LAN=DE A1 Ehsan, Upol A1 Liao, Q. Vera A1 Muller, Michael A1 Riedl, Mark O. A1 Weisz, Justin D. PB ACM YR 2021 K1 Artificial Intelligence K1 Explainable AI K1 explanations K1 human-AI interaction K1 social transparency K1 socio-organizational context K1 sociotechnical SP 1 OP 19 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3411764.3445188 DO https://dl.acm.org/doi/10.1145/3411764.3445188 SF ELIB - SuUB Bremen
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