Machine Learning Ethics
Machine Learning Ethics is a normative framework within the philosophy of artificial intelligence that systematically evaluates the moral implications, responsibilities, and societal impacts arising from the design, deployment, and governance of machine learning systems.
623
Publications
51.7K
Citations
1.6K
Authors
741
Institutions
Publications per year
2017–2026
598
623
The global landscape of AI ethics guidelines
Anna Jobin, Marcello Ienca, Effy Vayena · Nature Machine Intelligence · 2019 · 5K citations · Full text
GPT-3: Its Nature, Scope, Limits, and Consequences
Luciano Floridi, Massimo Chiriatti · Minds and Machines · 2020 · 2.2K citations · Full text
1–5 of 623
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741
University of Oxford
Oxford, United Kingdom
21 h-index
47 publications
11.3K citations
Stanford University
Stanford, United States
15 h-index
29 publications
3.3K citations
University of Cambridge
Cambridge, United Kingdom
12 h-index
34 publications
2.6K citations
The Alan Turing Institute
London, United Kingdom
12 h-index
16 publications
6K citations
New York University
New York, United States
11 h-index
21 publications
1K citations

University of Tübingen
Tübingen, Germany
11 h-index
13 publications
1.5K citations
University of Washington
Seattle, United States
11 h-index
16 publications
1.2K citations

Internet Society
Fredericksburg, United States
10 h-index
21 publications
4.1K citations
1–8 of 741
Repository · 40 publications · 1.4K citations
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Repository · 28 publications · 1.8K citations
19
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14 publications · 883 citations
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14 publications · 1.1K citations
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Conference · 8 publications · 397 citations
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