Concepedia

Intrinsic Explainability

Intrinsic Explainability is an academic concept referring to a class of machine learning models or methods inherently designed with transparent structures or interpretable components that enable direct understanding of their decision-making processes without reliance on post-hoc explanation techniques.

26

Publications

1.3K

Citations

94

Authors

51

Institutions

Publications per year

2017–2026

25

Parents

Publications

26

Legal requirements on explainability in machine learning

Adrien Bibal, Michaël Lognoul, Alexandre de Streel et al. · Artificial Intelligence and Law · 2020 · 152 citations · Full text

, , +9

GAMI-Net: An explainable neural network based on generalized additive models with structured interactions

Zebin Yang, Aijun Zhang, Agus Sudjianto · Pattern Recognition · 2021 · 121 citations

, , +16

Explainable artificial intelligence (XAI) post-hoc explainability methods: risks and limitations in non-discrimination law

Daniel Vale, Ali El-Sharif, M. Syed Ali · AI and Ethics · 2022 · 118 citations

, , +13

An analysis of explainability methods for convolutional neural networks

Lynn Vonder Haar, Timothy Elvira, Omar Ochoa · Engineering Applications of Artificial Intelligence · 2022 · 96 citations

, , +13

EXplainable Artificial Intelligence (XAI)—From Theory to Methods and Applications

Evandro S. Ortigossa, Thales Gonçalves, Luís Gustavo Nonato · IEEE Access · 2024 · 84 citations · Full text

, , +13

1–5 of 26

Authors

94

  1. AZ
    Aijun Zhang

    Lanzhou Institute of Chemical Physics, China

    2 publications · 137 citations

    2

    h-index

  2. AS
    Agus Sudjianto

    Ford Motor Company (United States), United States

    2 publications · 137 citations

    2

    h-index

  3. ZY
    Zebin Yang

    University of Hong Kong, Hong Kong SAR China

    2 publications · 137 citations

    2

    h-index

  4. AS
    Anirudh Som

    Arizona State University, United States

    1 publications · 31 citations

    1

    h-index

  5. RB
    Rachel Bellamy

    IBM (United States), United States

    1 publications · 55 citations

    1

    h-index

1–5 of 94

Institutions

51

  1. University of Hong Kong

    Pok Fu Lam, Hong Kong

    2 h-index

    2 publications

    137 citations

  2. Wells Fargo (United States)

    San Francisco, United States

    2 h-index

    4 publications

    274 citations

  3. Monmouth University

    West Long Branch, United States

    1 h-index

    1 publications

    82 citations

  4. University of Chinese Academy of Sciences

    Beijing, China

    1 h-index

    3 publications

    162 citations

  5. University of Utah

    Salt Lake City, United States

    1 h-index

    2 publications

    32 citations

  6. Zhejiang Cancer Hospital

    Hangzhou, China

    1 h-index

    3 publications

    162 citations

  7. Xidian University

    Xi'an, China

    1 h-index

    1 publications

    82 citations

  8. MicroPort (China)

    Shanghai, China

    1 h-index

    1 publications

    54 citations

1–8 of 51

Venues

  1. AI and Ethics

    2 publications · 145 citations

    2

    h-index

  2. IEEE Access

    2 publications · 128 citations

    2

    h-index

  3. Journal of Machine Learning Research

    JMLR · 1 publications · 55 citations

    1

    h-index

  4. arXiv (Cornell University)

    Repository · 1 publications · 16 citations

    1

    h-index

  5. Artificial Intelligence and Law

    AIL · 1 publications · 152 citations

    1

    h-index

1–5