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1
Inferring Work Task Automatability from AI Expert Evidence:
, In:
Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society
,
Duckworth, Paul
;
Graham, Logan
;
Osborne, Michael
- p. 485-491 , 2019
Link:
https://dl.acm.org/doi/10.1145/3306618.3314247
RT T1 <cTitle>Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society</cTitle>: T1 <Title>Inferring Work Task Automatability from AI Expert Evidence</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3314247&Exemplar=1&LAN=DE A1 Duckworth, Paul A1 Graham, Logan A1 Osborne, Michael PB ACM YR 2019 K1 automation K1 bayesian machine learning K1 interpretable machine learning K1 labor economics K1 open datasets K1 General and reference K1 Document types K1 Surveys and overviews K1 Applied computing K1 Law, social and behavioral sciences K1 Economics K1 Computing methodologies K1 Machine learning K1 Machine learning approaches K1 Kernel methods K1 Gaussian processes K1 Social and professional topics K1 Computing/technology policy K1 Government technology policy SP 485 OP 491 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3306618.3314247 DO https://dl.acm.org/doi/10.1145/3306618.3314247 SF ELIB - SuUB Bremen
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