Artificial Intelligence Transparency
Artificial Intelligence Transparency is a methodological framework within digital health research ethics that ensures the processes, data, and decision-making mechanisms of artificial intelligence systems are accessible, interpretable, and accountable to stakeholders, thereby enabling informed scrutiny and ethical governance.
573
Publications
47.8K
Citations
1.6K
Authors
807
Institutions
Publications per year
2017–2026
570
573
1–5 of 573
1.6K
5
h-index
4
h-index
4
h-index
4
h-index
4
h-index
1–5 of 1.6K
807
University College London
London, United Kingdom
16 h-index
26 publications
7.1K citations
Harvard University
Cambridge, United States
15 h-index
28 publications
2.7K citations
University of Oxford
Oxford, United Kingdom
12 h-index
21 publications
2.5K citations
University of Cambridge
Cambridge, United Kingdom
11 h-index
23 publications
1.8K citations
Stanford University
Stanford, United States
11 h-index
11 publications
1.3K citations

Imperial College London
London, United Kingdom
10 h-index
11 publications
1.6K citations

Delft University of Technology
Delft, The Netherlands
10 h-index
14 publications
1.2K citations
The Alan Turing Institute
London, United Kingdom
9 h-index
10 publications
1.2K citations
1–8 of 807
Repository · 17 publications · 1.1K citations
17
h-index
Repository · 22 publications · 1.7K citations
15
h-index
11 publications · 755 citations
14
h-index
13 publications · 1K citations
13
h-index
4 publications · 301 citations
7
h-index
1–5