Ai Strategy Formulation

AI Strategy Formulation is a strategic planning process that constitutes the systematic development of a prioritized roadmap for designing, deploying, and governing artificial intelligence capabilities within an organizational or institutional context, differentiated by its focus on aligning AI initiatives with overarching mission objectives, resource constraints, ethical considerations, and technological feasibility.

88

Publications

6.7K

Citations

236

Authors

156

Institutions

Publications per year

2017–2026

78

Authors

236

  1. EH
    Emmie Hine

    University of Bologna, Italy

    2 publications · 101 citations

    2

    h-index

  2. MT
    Mariarosaria Taddeo

    University of Oxford, United Kingdom

    2 publications · 101 citations

    2

    h-index

  3. SC
    Stephen Cave

    University of Cambridge, United Kingdom

    2 publications · 125 citations

    2

    h-index

  4. FM
    Francesca Mazzi

    University of Oxford, United Kingdom

    2 publications · 101 citations

    2

    h-index

  5. JC
    Josh Cowls

    University of Oxford, United Kingdom

    2 publications · 101 citations

    2

    h-index

1–5 of 236

Venues

  1. AI & Society

    4 publications · 193 citations

    4

    h-index

  2. Journal of Business Research

    JBR · 2 publications · 1.1K citations

    2

    h-index

  3. Technological Forecasting and Social Change

    2 publications · 139 citations

    2

    h-index

  4. AI Magazine

    2 publications · 56 citations

    2

    h-index

  5. IEEE Engineering Management Review

    IEMRAP · 2 publications · 104 citations

    2

    h-index

1–5