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1
A Decision Theoretic Framework for Measuring AI Reliance:
, In:
Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency
,
Guo, Ziyang
;
Wu, Yifan
;
Hartline, Jason D.
. - p. 221-236 , 2024
Link:
https://dl.acm.org/doi/10.1145/3630106.3658901
RT T1 <cTitle>Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency</cTitle>: T1 <Title>A Decision Theoretic Framework for Measuring AI Reliance</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3658901&Exemplar=1&LAN=DE A1 Guo, Ziyang A1 Wu, Yifan A1 Hartline, Jason D. A1 Hullman, Jessica PB ACM YR 2024 K1 Machine learning K1 decision making K1 rational decision-maker K1 reliance K1 Computing methodologies K1 Machine learning K1 Human-centered computing K1 Human computer interaction (HCI) K1 HCI theory, concepts and models SP 221 OP 236 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3630106.3658901 DO https://dl.acm.org/doi/10.1145/3630106.3658901 SF ELIB - SuUB Bremen
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