What's in the Box? The Legal Requirement of Explainability in Computationally Aided Decision-Making in Public Administration
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Transparency and traceability have to meet even higher standards in healthcare and for the individual patient.
“Taking the cue from other fields such as public administration, transparency and traceability have to meet even higher standards when it comes to health care and the individual patient [12].”
From Explainability for artificial intelligence in healthcare: a multidisciplinary perspective (2020) · cites this paper as [12]
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Трансформация социальности: социология интегративного социо-нейросетевого взаимодействия: монография
Ладыжец, Н. С., & Ладыжец, С. В. (2025) · doi:10.35634/978-5-4312-1320-5-2025-1-87
- Authors
- Olsen, H. P., Slosser, J. L., Hildebrandt, T. T., & Wiesener, C.
- Affiliations
- University of Copenhagen (DK)
- Corresponding author
- Olsen, Henrik Palmer
- Venue
- SSRN Electronic Journal
- Publisher
- Elsevier BV
- Published
- 2019
- ISSN
- 1556-5068 (ISSN-L)
- OpenAlex
- W2967707981
- Cited by
- 28
- References
- 13
- Citations by year
- 2025: 4 · 2024: 5 · 2023: 5 · 2022: 9 · 2021: 1 · 2020: 1 · 2019: 3
- Type
- posted content
- Language
- en
- Open access
- green
- doi.org
- Locations
- SSRN Electronic Journal (publishedVersion)
- Research at the University of Copenhagen (University of Copenhagen) (submittedVersion, other-oa)
- Funders
- National Research Foundation
- Danmarks Grundforskningsfond (DNRF-105)
- Topics
- Social Sciences › Law › Digitalization, Law, and Regulation
- Physical Sciences › Computer Science › Artificial Intelligence › Explainable Artificial Intelligence (XAI)
- Social Sciences › Political Science and International Relations › Administrative Law and Governance
- Keywords
- algorithmic decision-making, explainability, administrative law, public administration, administrative transparency, black box problem, AI-supported decision-making, administrative transactions, European legislation
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