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1 Ergebnisse
1
Who Should Pay When Machines Cause Harm? Laypeople's Expect..:
, In:
Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency
,
Lima, Gabriel
;
Grgic-Hlaca, Nina
;
Jeong, Jin Keun
. - p. 236-246 , 2023
Link:
https://dl.acm.org/doi/10.1145/3593013.3593992
RT T1
Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency
: T1
Who Should Pay When Machines Cause Harm? Laypeople's Expectations of Legal Damages for Machine-Caused Harm
UL https://suche.suub.uni-bremen.de/peid=acm-3593992&Exemplar=1&LAN=DE A1 Lima, Gabriel A1 Grgic-Hlaca, Nina A1 Jeong, Jin Keun A1 Cha, Meeyoung PB ACM YR 2023 K1 AI K1 algorithm K1 artificial intelligence K1 damages K1 liability K1 machine K1 punishment K1 responsibility K1 robot K1 Applied computing K1 Law, social and behavioral sciences K1 Psychology K1 Human-centered computing K1 Human computer interaction (HCI) K1 Empirical studies in HCI K1 Social and professional topics K1 Computing/technology policy K1 Government technology policy K1 Governmental regulations K1 Law SP 236 OP 246 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3593013.3593992 DO https://dl.acm.org/doi/10.1145/3593013.3593992 SF ELIB - SuUB Bremen
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