Ai Capability Development

AI Capability Development is a strategic academic process that involves the creation, refinement, and integration of novel methodological or technical contributions—such as methods, models, frameworks, theories, constructs, datasets, tasks, or metrics—within artificial intelligence research, distinguished by its focus on advancing core competencies and functional capacities of AI systems.

178

Publications

14.7K

Citations

512

Authors

298

Institutions

Publications per year

2017–2026

172

Authors

512

  1. PM
    Patrick Mikalef

    Norwegian University of Science and Technology, Norway

    5 publications · 2K citations

    5

    h-index

  2. MA
    Markus Anderljung

    University of Oxford, United Kingdom

    4 publications · 177 citations

    4

    h-index

  3. JW
    Jess Whittlestone

    University of Cambridge, United Kingdom

    3 publications · 146 citations

    3

    h-index

  4. MD
    Maarten de Laat

    Open University of the Netherlands, Netherlands

    3 publications · 574 citations

    3

    h-index

  5. AA
    Abdulaziz Aldoseri

    Qatar University, Qatar

    3 publications · 333 citations

    3

    h-index

1–5 of 512

Venues

  1. arXiv (Cornell University)

    Repository · 5 publications · 179 citations

    5

    h-index

  2. 5

    h-index

  3. Technovation

    4 publications · 358 citations

    5

    h-index

  4. Technological Forecasting and Social Change

    4 publications · 285 citations

    4

    h-index

  5. SSRN Electronic Journal

    Repository · 4 publications · 76 citations

    4

    h-index

1–5