Ai Risk Perception
AI Risk Perception is a construct within the study of artificial intelligence adoption that refers to the subjective assessment of potential hazards and unintended consequences associated with the deployment and use of AI technologies.
159
Publications
10.7K
Citations
645
Authors
386
Institutions
Publications per year
2017–2026
152
159
1–5 of 159
645
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386
Stanford University
Stanford, United States
4 h-index
7 publications
1.4K citations
West Virginia University
Morgantown, United States
4 h-index
5 publications
333 citations

University of Tübingen
Tübingen, Germany
4 h-index
9 publications
567 citations
National University of Singapore
Singapore, Singapore
3 h-index
11 publications
760 citations

Washington State University
Pullman, United States
3 h-index
6 publications
278 citations

Cornell University
Ithaca, United States
3 h-index
11 publications
326 citations

Queensland University of Technology
Brisbane, Australia
3 h-index
8 publications
585 citations
Université Paris Cité
Paris, France
2 h-index
4 publications
668 citations
1–8 of 386
7 publications · 557 citations
7
h-index
4 publications · 335 citations
4
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4 publications · 679 citations
4
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3 publications · 158 citations
3
h-index
2 publications · 155 citations
2
h-index
1–5