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

Authors

645

  1. AC
    Avishek Choudhury

    West Virginia University, United States

    4 publications · 249 citations

    4

    h-index

  2. TY
    Tan Yiğitcanlar

    Queensland University of Technology, Australia

    3 publications · 222 citations

    3

    h-index

  3. MH
    Markus Huff

    University of Tübingen, Germany

    2 publications · 145 citations

    2

    h-index

  4. DG
    Doğan Gürsoy

    Washington State University, United States

    2 publications · 114 citations

    2

    h-index

  5. HK
    Henry Kautz

    University of Rochester, United States

    2 publications · 155 citations

    2

    h-index

1–5 of 645

Venues

  1. AI & Society

    7 publications · 557 citations

    7

    h-index

  2. 4

    h-index

  3. Journal of Medical Internet Research

    4 publications · 679 citations

    4

    h-index

  4. PLoS ONE

    3 publications · 158 citations

    3

    h-index

  5. AI Magazine

    2 publications · 155 citations

    2

    h-index

1–5