Cited by 419Explainable Artificial Intelligence (XAI)Ethics and Social Impacts of AIPhilosophy of Biology and Scientific Explanation

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Solving the Black Box Problem: A Normative Framework for Explainable Artificial Intelligence

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Zednik, Carlos·2021·Philosophy & Technology

DOI 10.1007/s13347-019-00382-7

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Authors: Zednik, C.
Affiliations: Otto-von-Guericke-Universität Magdeburg (DE)
Corresponding author: Zednik, Carlos
ORCID: Zednik, Carlos
Venue: Philosophy & Technology
Publisher: Springer Science and Business Media LLC
Published: 2019-12-20
Volume: 34
Issue: 2
Pages: 265-288
ISSN: 2210-5433 (ISSN-L)
2210-5441
DOI: 10.1007/s13347-019-00382-7
OpenAlex: W2955132579
Cited by: 419
References: 48
Citations by year: 2026: 67 · 2025: 95 · 2024: 87 · 2023: 53 · 2022: 74 · 2021: 29 · 2020: 11 · 2019: 3
FWCI: 13.20
Type: journal article
Language: en
Open access: green
arxiv.org
Licence: www.springer.com/tdm (tdm)
www.springer.com/tdm (vor)
Locations: Philosophy & Technology (publishedVersion)
arXiv (Cornell University) (submittedVersion)
arXiv (Cornell University)
Topics: Physical Sciences › Computer Science › Artificial Intelligence › Explainable Artificial Intelligence (XAI)
Physical Sciences › Computer Science › Artificial Intelligence › Ethics and Social Impacts of AI
Social Sciences › Arts and Humanities › History and Philosophy of Science › Philosophy of Biology and Scientific Explanation
Keywords: explainable AI, black box problem, opacity, normative framework, philosophy of science, feature visualization, diagnostic classification, machine learning transparency

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Solving the Black Box Problem: A Normative Framework for Explainable Artificial Intelligence

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