Logics and practices of transparency and opacity in real-world applications of public sector machine learning
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DOI: 10.31219/osf.io/6cdhe
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References listed on IDEAS
- Aurélien Buffat, 2015. "Street-Level Bureaucracy and E-Government," Public Management Review, Taylor & Francis Journals, vol. 17(1), pages 149-161, January.
- Edwards, Lilian & Veale, Michael, 2017. "Slave to the Algorithm? Why a 'right to an explanation' is probably not the remedy you are looking for," LawArXiv 97upg, Center for Open Science.
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- Veale, Michael & Binns, Reuben, 2017. "Fairer machine learning in the real world: Mitigating discrimination without collecting sensitive data," SocArXiv ustxg, Center for Open Science.
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NEP fields
This paper has been announced in the following NEP Reports:- NEP-BIG-2019-12-09 (Big Data)
- NEP-CMP-2019-12-09 (Computational Economics)
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