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Maschinelles Lernen und Diskriminierung: Probleme und Lösungsansätze · Study

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ArticleMaschinelles Lernen und Diskriminierung: Probleme und Lösungsansätze

Thilo Hagendorff2019

Article2019

Maschinelles Lernen und Diskriminierung: Probleme und Lösungsansätze

Thilo Hagendorff

21 citations·0/0 files stored·Österreichische Zeitschrift für Soziologie

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Ethics and Social Impacts of AI Discrimination and Equality Law Artificial Intelligence in Law

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References

2012CRITICAL QUESTIONS FOR BIG DATA 2000Pandora's Hope: Essays on the Reality of Science Studies 1984The Social Construction of Facts and Artefacts: or How the Sociology of Science and the Sociology of Technology might Benefit Each Other 2016The ethics of algorithms: Mapping the debate 2014Big Data's Disparate Impact 1988The Social Construction of Technological Systems: New Directions in the Sociology and History of Technology 2016Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy 1990Technology is Society Made Durable

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2020Forbidden knowledge in machine learning reflections on the limits of research and publication

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Year2019

Typearticle

Published2019-05-27

VenueÖsterreichische Zeitschrift für Soziologie

ISSN-L1011-0070

Languagede

Citations21

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ShelfEthics and Social Impacts of AI

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doi10.1007/s11614-019-00347-2

openalex_workW2946854312

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