Explainable Decision Making

Explainable Decision Making is a decision-making framework that belongs to the class of transparent artificial intelligence systems, distinguished by its capacity to provide human-understandable justifications for evaluation outcomes in applicant screening processes.

119

Publications

10.7K

Citations

407

Authors

241

Institutions

Publications per year

2017–2026

112

Authors

407

  1. FC
    Federico Cabitza

    University of Milano-Bicocca, Italy

    2 publications · 69 citations

    2

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  2. YW
    Yu-Cheng Wang

    Chaoyang University of Technology, Taiwan

    2 publications · 93 citations

    2

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  3. BS
    Babak Salimi

    University of Washington, United States

    2 publications · 31 citations

    2

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  4. NP
    Nancy Pennington

    University of Colorado System, United States

    2 publications · 405 citations

    2

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  5. KC
    Kristof Coussement

    Institut d'Economie Scientifique Et de Gestion, France

    2 publications · 122 citations

    2

    h-index

1–5 of 407

Venues

  1. Decision Support Systems

    4 publications · 360 citations

    4

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  2. Information Fusion

    3 publications · 231 citations

    3

    h-index

  3. 3

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  4. AI & Society

    3 publications · 121 citations

    3

    h-index

  5. 2

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1–5