Ai Transparency
AI Transparency is a governance framework that specifies the conditions under which the operations, data, models, and decision-making processes of artificial intelligence systems are made accessible, interpretable, and accountable to stakeholders, distinguishing it from related governance mechanisms by its focus on epistemic openness and informational disclosure in AI development and deployment.
546
Publications
40.8K
Citations
1.4K
Authors
685
Institutions
Publications per year
2017–2026
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685
University of Oxford
Oxford, United Kingdom
13 h-index
26 publications
930 citations

Delft University of Technology
Delft, The Netherlands
10 h-index
15 publications
1.3K citations
University College London
London, United Kingdom
8 h-index
22 publications
1.1K citations
Stanford University
Stanford, United States
8 h-index
9 publications
464 citations
University of Cambridge
Cambridge, United Kingdom
8 h-index
12 publications
1.2K citations

University of Amsterdam
Amsterdam, The Netherlands
7 h-index
15 publications
589 citations
Carnegie Mellon University
Pittsburgh, United States
7 h-index
12 publications
2.5K citations
The Alan Turing Institute
London, United Kingdom
7 h-index
9 publications
256 citations
1–8 of 685
Repository · 21 publications · 607 citations
17
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13 publications · 933 citations
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Repository · 20 publications · 835 citations
14
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8 publications · 856 citations
12
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8 publications · 557 citations
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1–5