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

Authors

2.8K

  1. AW
    Adrian Weller

    University of Cambridge, United Kingdom

    8 publications · 716 citations

    8

    h-index

  2. LF
    Luciano Floridi

    University of Oxford, United Kingdom

    8 publications · 1.3K citations

    8

    h-index

  3. KR
    Kush R. Varshney

    IBM Research - Thomas J. Watson Research Center, United States

    7 publications · 420 citations

    7

    h-index

  4. XH
    Xiaowei Huang

    University of Liverpool, United Kingdom

    7 publications · 760 citations

    7

    h-index

  5. ND
    Natalia Díaz-Rodríguez

    Universidad de Granada, Spain

    6 publications · 2.6K citations

    6

    h-index

1–5 of 2.8K

Venues

  1. arXiv (Cornell University)

    Repository · 70 publications · 3.1K citations

    31

    h-index

  2. SSRN Electronic Journal

    Repository · 18 publications · 632 citations

    14

    h-index

  3. IEEE Access

    13 publications · 853 citations

    13

    h-index

  4. AI and Ethics

    13 publications · 557 citations

    13

    h-index

  5. Computer

    11 publications · 332 citations

    11

    h-index

1–5