Trustworthy Ai
Trustworthy AI is a foundational framework within artificial intelligence that ensures systems are designed, developed, and deployed in accordance with ethical principles, technical robustness, transparency, accountability, and fairness, thereby enabling reliable and responsible AI deployments in real-world contexts.
725
Publications
70.8K
Citations
2.8K
Authors
1.1K
Institutions
Publications per year
2017–2026
698
Variants
Trustworthy Artificial Intelligence
725
1–5 of 725
2.8K
8
h-index
8
h-index
IBM Research - Thomas J. Watson Research Center, United States
7 publications · 420 citations
7
h-index
7
h-index
6
h-index
1–5 of 2.8K
1.1K
University of Oxford
Oxford, United Kingdom
24 h-index
55 publications
7.7K citations
University of Cambridge
Cambridge, United Kingdom
11 h-index
28 publications
1.8K citations
ETH Zurich
Zurich, Switzerland
11 h-index
15 publications
1.7K citations
Stanford University
Stanford, United States
11 h-index
69 publications
6.2K citations
University College London
London, United Kingdom
10 h-index
12 publications
919 citations
Eindhoven University of Technology
Eindhoven, The Netherlands
10 h-index
10 publications
682 citations
University of California, Berkeley
Berkeley, United States
10 h-index
16 publications
1.6K citations

University of Toronto
Toronto, Canada
9 h-index
11 publications
470 citations
1–8 of 1.1K
Repository · 70 publications · 3.1K citations
31
h-index
Repository · 18 publications · 632 citations
14
h-index
13 publications · 853 citations
13
h-index
13 publications · 557 citations
13
h-index
11 publications · 332 citations
11
h-index
1–5