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The Right to Explanation, Explained · Study

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PreprintThe Right to Explanation, Explained

Margot E. Kaminski2018

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Preprintgreen2018

The Right to Explanation, Explained

Margot E. Kaminski

36 citations·0/0 files stored·SSRN Electronic Journal

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

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References

2016Seeing without knowing: Limitations of the transparency ideal and its application to algorithmic accountability 2017Sensitive-by-distance: quasi-health data in the algorithmic era

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2020AI Loyalty: A New Paradigm for Aligning Stakeholder Interests 2023Transparency for what purpose?: Designing outcomes‐focused transparency tactics for digital platforms

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2018The Platform Societybook · 1 shared reference 2019Algorithms at Work: The New Contested Terrain of Controlarticle · 1 shared reference 2019From What to How: An Initial Review of Publicly Available AI Ethics Tools, Methods and Research to Translate Principles into Practicesarticle · 1 shared reference 2023Fairness and Bias in Artificial Intelligence: A Brief Survey of Sources, Impacts, and Mitigation Strategiesarticle · 1 shared reference 2018Ethical Implications and Accountability of Algorithmsarticle · 1 shared reference 2016Artificial Intelligence and the 'Good Society': The US, EU, and UK Approacharticle · 1 shared reference

Details

Year2018

Typepreprint

Published2018-01-01

VenueSSRN Electronic Journal

ISSN-L1556-5068

Languageen

Citations36

Files0 public / 0

ShelfDigitalization, Law, and Regulation

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doi10.2139/ssrn.3196985

openalex_workW2807828695

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