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Artificial Intelligence and Transparency: Opening the Black Box · Study

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ChapterArtificial Intelligence and Transparency: Opening the Black Box

Thomas Wischmeyer2019

Chapter2019

Artificial Intelligence and Transparency: Opening the Black Box

Thomas Wischmeyer

88 citations·0/0 files stored·Springer eBooks

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Digitalization, Law, and Regulation Ethics and Social Impacts of AI Explainable Artificial Intelligence (XAI)

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Citations in this library

Stored only when both papers are in the corpus — 88 citations exist upstream.

References

1958Social Theory and Social Structure 1969Social Theory and Social Structure.2015The Black Box Society 2016The ethics of algorithms: Mapping the debate 2016How the machine ‘thinks’: Understanding opacity in machine learning algorithms 1973Causation 2016Seeing without knowing: Limitations of the transparency ideal and its application to algorithmic accountability 2016Stanford Encyclopedia of Philosophy

Cited by

2022Algorithmic decision-making employing profiling: will trade secrecy protection render the right to explanation toothless?2021The right to contest automated decisions under the General Data Protection Regulation : Beyond the so‐called “right to explanation”2022A Transparency Index Framework for AI in Education 2022On the path to the future: mapping the notion of transparency in the EU regulatory framework for AI 2024New actors or new tools – algorithms in employment and labour relations

Details

Year2019

Typechapter

Published2019-11-29

VenueSpringer eBooks

Languageen

Citations88

Files0 public / 0

ShelfDigitalization, Law, and Regulation

Identifiers

doi10.1007/978-3-030-32361-5_4

openalex_workW2990556942

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