Concepedia

Intrinsic Interpretability

Intrinsic Interpretability is a type of explainable artificial intelligence approach in which the model or system is inherently transparent and comprehensible by design, as opposed to relying on post-hoc explanations, thereby enabling direct understanding of its decision-making processes within educational contexts.

60

Publications

3.9K

Citations

200

Authors

97

Institutions

Publications per year

2017–2026

50

Variants

Self-interpretable ModelsTransparent Models

Parents

Publications

60

What do we want from Explainable Artificial Intelligence (XAI)? – A stakeholder perspective on XAI and a conceptual model guiding interdisciplinary XAI research

Markus Langer, Daniel Oster, Timo Speith et al. · Artificial Intelligence · 2021 · 592 citations · Full text

, , +10

Low-level interpretability and high-level interpretability: a unified view of data-driven interpretable fuzzy system modelling

Shang‐Ming Zhou, John Q. Gan · Fuzzy Sets and Systems · 2008 · 268 citations

, , +11

An engineer's guide to eXplainable Artificial Intelligence and Interpretable Machine Learning: Navigating causality, forced goodness, and the false perception of inference

M.Z. Naser · Automation in Construction · 2021 · 211 citations

, , +16

Unlocking the black box: an in-depth review on interpretability, explainability, and reliability in deep learning

Emrullah Şahin, Naciye Nur Arslan, Durmuş Özdemir · Neural Computing and Applications · 2024 · 201 citations

, , +16

Interpretability issues in data-based learning of fuzzy systems

Ralf Mikut, Jens Jäkel, Lutz Gröll · Fuzzy Sets and Systems · 2004 · 151 citations

, , +16

1–5 of 60

Authors

200

  1. YS
    Yamisleydi Salgueiro

    University of Talca, Chile

    2 publications · 64 citations

    2

    h-index

  2. DH
    Dylan Hadfield-Menell

    University of California, Berkeley, United States

    2 publications · 115 citations

    2

    h-index

  3. DM
    Deyu Meng

    Xi'an Jiaotong University, China

    2 publications · 69 citations

    2

    h-index

  4. TM
    Tim Miller

    The University of Melbourne, Australia

    2 publications · 54 citations

    2

    h-index

  5. AH
    Anson Ho

    Epoch Biosciences (United States), United States

    2 publications · 115 citations

    2

    h-index

1–5 of 200

Institutions

97

  1. University of Alberta

    Edmonton, Canada

    2 h-index

    2 publications

    41 citations

  2. The University of Melbourne

    Melbourne, Australia

    2 h-index

    2 publications

    54 citations

  3. Tilburg University

    Tilburg, The Netherlands

    2 h-index

    3 publications

    94 citations

  4. University of Talca

    Talca, Chile

    2 h-index

    2 publications

    64 citations

  5. Nova Southeastern University

    Fort Lauderdale, United States

    1 h-index

    1 publications

    118 citations

  6. Dalhousie University

    Halifax, Canada

    1 h-index

    1 publications

    31 citations

  7. FZI Research Center for Information Technology

    Karlsruhe, Germany

    1 h-index

    3 publications

    453 citations

  8. Decision Sciences (United States)

    Fort Walton Beach, United States

    1 h-index

    1 publications

    34 citations

1–8 of 97

Venues

  1. arXiv (Cornell University)

    Repository · 7 publications · 300 citations

    7

    h-index

  2. Artificial Intelligence

    2 publications · 615 citations

    2

    h-index

  3. IEEE Access

    2 publications · 127 citations

    2

    h-index

  4. Fuzzy Sets and Systems

    2 publications · 419 citations

    2

    h-index

  5. Nature Machine Intelligence

    2 publications · 75 citations

    2

    h-index

1–5