Concepedia

Fairness-aware Explanations

Fairness-Aware Explanations is an explanatory framework in explainable machine learning and recommendation that, as a genus, generates post-hoc or intrinsic explanations of model decisions, and, by differentia, explicitly integrates fairness constraints or objectives to ensure that the explanations are equitable across sensitive attributes such as race, gender, or socioeconomic status.

44

Publications

3.1K

Citations

148

Authors

56

Institutions

Publications per year

2017–2026

43

Parents

Publications

44

Fooling LIME and SHAP

Dylan Slack, Sophie Hilgard, Emily Jia et al. · Proceedings of the AAAI/ACM Conference on AI Ethics and Society · 2020 · 769 citations · Full text

, , +16

Explaining Explanations: An Overview of Interpretability of Machine Learning

Leilani H. Gilpin, David Bau, Ben Z. Yuan et al. · 2018 · 278 citations · Full text

, , +14

AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias

Rachel Bellamy, Kuntal Dey, Michael Hind et al. · arXiv (Cornell University) · 2018 · 268 citations · Full text

, , +14

Explaining models

Jonathan Dodge, Q. Vera Liao, Yunfeng Zhang et al. · 2019 · 252 citations · Full text

, , +14

Explanation of Machine Learning Models Using Improved Shapley Additive Explanation

Yasunobu Nohara, Koutarou Matsumoto, Hidehisa Soejima et al. · 2019 · 142 citations

, , +17

1–5 of 44

Authors

148

  1. AB
    Ayesha Bajwa

    Massachusetts Institute of Technology, United States

    3 publications · 431 citations

    3

    h-index

  2. KR
    Kush R. Varshney

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

    3 publications · 373 citations

    3

    h-index

  3. DB
    David Bau

    Massachusetts Institute of Technology, United States

    3 publications · 431 citations

    3

    h-index

  4. YZ
    Yunfeng Zhang

    Shandong University of Finance and Economics, China

    3 publications · 543 citations

    3

    h-index

  5. BZ
    Ben Z. Yuan

    Massachusetts Institute of Technology, United States

    3 publications · 431 citations

    3

    h-index

1–5 of 148

Institutions

56

  1. University of California, Irvine

    Irvine, United States

    2 h-index

    3 publications

    1.5K citations

  2. The University of Texas at Austin

    Austin, United States

    2 h-index

    3 publications

    150 citations

  3. Vanderbilt University

    Nashville, United States

    2 h-index

    5 publications

    115 citations

  4. North Carolina State University

    Raleigh, United States

    2 h-index

    6 publications

    132 citations

  5. IBM (United States)

    Armonk, United States

    2 h-index

    16 publications

    840 citations

  6. Oregon State University

    Corvallis, United States

    2 h-index

    2 publications

    275 citations

  7. Karlsruhe Institute of Technology

    Karlsruhe, Germany

    2 h-index

    5 publications

    97 citations

  8. University of Florida

    Gainesville, United States

    1 h-index

    1 publications

    29 citations

1–8 of 56

Venues

  1. arXiv (Cornell University)

    Repository · 13 publications · 643 citations

    12

    h-index

  2. Political Science Research and Methods

    PSRM · 1 publications · 44 citations

    1

    h-index

  3. 1

    h-index

  4. Ethics and Information Technology

    1 publications · 52 citations

    1

    h-index

  5. Neuropsychologia

    1 publications · 14 citations

    1

    h-index

1–5