Contrastive Explanations

Contrastive Explanations is a type of explanatory framework in robot explainability that, unlike general explanations, specifies why a particular outcome occurred rather than an alternative by identifying the relevant factors that differentiate the actual outcome from a salient alternative.

90

Publications

5.6K

Citations

187

Authors

105

Institutions

Publications per year

2017–2026

53

Authors

187

  1. PC
    Pin‐Yu Chen

    IBM (United States), United States

    5 publications · 400 citations

    5

    h-index

  2. AD
    Amit Dhurandhar

    IBM (United States), United States

    5 publications · 400 citations

    5

    h-index

  3. CT
    Chun‐Chen Tu

    University of Michigan, United States

    4 publications · 371 citations

    4

    h-index

  4. RL
    Ronny Luss

    Tel Aviv University, Israel

    4 publications · 371 citations

    4

    h-index

  5. PF
    Peter Flach

    University of Bristol, United Kingdom

    3 publications · 232 citations

    3

    h-index

1–5 of 187

Venues

  1. arXiv (Cornell University)

    Repository · 9 publications · 600 citations

    9

    h-index

  2. Philosophy of Science

    4 publications · 121 citations

    4

    h-index

  3. Cambridge Journal of Economics

    3 publications · 102 citations

    3

    h-index

  4. Philosophical Studies

    3 publications · 398 citations

    3

    h-index

  5. Synthese

    3 publications · 200 citations

    3

    h-index

1–5