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Bridging the gap from AI ethics research to practice:

, In: Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency,

Baxter, Kathy ; Schlesinger, Yoav ; Aerni, Sarah... - p. 682 ff. , 2020

Link: https://dl.acm.org/doi/10.1145/3351095.3375680

RT 
T1 <cTitle>Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency</cTitle>: T1 <Title>Bridging the gap from AI ethics research to practice</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3375680&Exemplar=1&LAN=DE
				
A1 Baxter, Kathy
A1 Schlesinger, Yoav
A1 Aerni, Sarah
A1 Baker, Lewis
A1 Dawson, Julie
A1 Kenthapadi, Krishnaram
A1 Kloumann, Isabel
A1 Wallach, Hanna
PB ACM
YR 2020
K1 ML fairness
K1 algorithmic decision-making
K1 artificial intelligence
K1 data
K1 ethics
K1 fairness
K1 practitioners
K1 Computing methodologies
K1 Artificial intelligence
K1 Philosophical/theoretical foundations of artificial intelligence
K1 Cognitive science
K1 General and reference
K1 Cross-computing tools and techniques
K1 Evaluation
K1 Human-centered computing
K1 Human computer interaction (HCI)
K1 HCI theory, concepts and models
K1 Machine learning
SP 682 ff.
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3351095.3375680
DO https://dl.acm.org/doi/10.1145/3351095.3375680
SF ELIB - SuUB Bremen

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