Artificial Intelligence Security Risk

Artificial Intelligence Security Risk is a type of cyber risk that arises from the intentional or unintentional exploitation of vulnerabilities in artificial intelligence systems, distinguishing it from other cyber risks by its specific dependence on the behaviors, data dependencies, and decision-making uncertainties inherent in AI models.

70

Publications

4.3K

Citations

224

Authors

124

Institutions

Publications per year

2017–2026

67

Variants

Ai Security Risk

Parents

Authors

224

  1. RV
    Roman V. Yampolskiy

    University of Louisville, United States

    4 publications · 1.1K citations

    4

    h-index

  2. MS
    Marc Schmitt

    University of Oxford, United Kingdom

    3 publications · 148 citations

    3

    h-index

  3. IF
    Ivan Fléchais

    University of Oxford, United Kingdom

    3 publications · 148 citations

    3

    h-index

  4. HS
    Hyrum S. Anderson

    University of Washington, United States

    2 publications · 1K citations

    2

    h-index

  5. PS
    Paul Scharre

    Eindhoven University of Technology, Netherlands

    2 publications · 1K citations

    2

    h-index

1–5 of 224

Venues

  1. Computer

    4 publications · 127 citations

    4

    h-index

  2. arXiv (Cornell University)

    Repository · 3 publications · 582 citations

    3

    h-index

  3. SSRN Electronic Journal

    Repository · 3 publications · 93 citations

    3

    h-index

  4. Artificial Intelligence Review

    2 publications · 392 citations

    2

    h-index

  5. IEEE Access

    2 publications · 124 citations

    2

    h-index

1–5