Concepedia

Opacity In Machine Learning

Opacity in Machine Learning is a theoretical construct in the ethics of automated decision-making that refers to the inherent lack of transparency in machine learning systems, whereby the processes through which inputs are transformed into outputs are not fully understandable or interpretable by human users.

37

Publications

6.4K

Citations

85

Authors

69

Institutions

Publications per year

2017–2026

33

Parents

Publications

37

How the machine ‘thinks’: Understanding opacity in machine learning algorithms

Jenna Burrell · Big Data & Society · 2016 · 2.5K citations · Full text

, , +14

On the ethics of algorithmic decision-making in healthcare

Thomas Grote, Philipp Berens · Journal of Medical Ethics · 2019 · 513 citations · Full text

, , +16

How the Machine 'Thinks:' Understanding Opacity in Machine Learning Algorithms

Jenna Burrell · SSRN Electronic Journal · 2015 · 511 citations · Full text

, , +13

To Engage or Not to Engage with AI for Critical Judgments: How Professionals Deal with Opacity When Using AI for Medical Diagnosis

Sarah Lebovitz, Hila Lifshitz‐Assaf, Natalia Levina · Organization Science · 2022 · 488 citations

, , +15

Algorithmic management in a work context

Mohammad Hossein Jarrahi, Gemma Newlands, Min Kyung Lee et al. · Big Data & Society · 2021 · 384 citations · Full text

, , +13

1–5 of 37

Authors

85

  1. JB
    Jenna Burrell

    University of California, Berkeley, United States

    2 publications · 3K citations

    2

    h-index

  2. ES
    Emily Sullivan

    Delft University of Technology, Netherlands

    2 publications · 240 citations

    2

    h-index

  3. PD
    P.B. de Laat

    University of Groningen, Netherlands

    2 publications · 266 citations

    2

    h-index

  4. BH
    Bo Hee Min

    Copenhagen Business School, Denmark

    1 publications · 47 citations

    1

    h-index

  5. ME
    Mohammad Eslami

    Islamic Azad University, Tehran, Iran

    1 publications · 162 citations

    1

    h-index

1–5 of 85

Institutions

69

  1. University of Michigan

    Ann Arbor, United States

    4 h-index

    5 publications

    525 citations

  2. University of California, Berkeley

    Berkeley, United States

    3 h-index

    3 publications

    3K citations

  3. Delft University of Technology

    Delft, The Netherlands

    2 h-index

    2 publications

    258 citations

  4. University of Chicago

    Chicago, United States

    2 h-index

    2 publications

    64 citations

  5. Alexandria University

    Alexandria, Egypt

    1 h-index

    2 publications

    324 citations

  6. Jain Family Institute

    New York, United States

    1 h-index

    1 publications

    26 citations

  7. ETH Zurich

    Zurich, Switzerland

    1 h-index

    3 publications

    243 citations

  8. Johns Hopkins University

    Baltimore, United States

    1 h-index

    1 publications

    162 citations

1–8 of 69

Venues

  1. Big Data & Society

    3 publications · 2.9K citations

    3

    h-index

  2. Philosophy & Technology

    3 publications · 411 citations

    3

    h-index

  3. SSRN Electronic Journal

    Repository · 3 publications · 536 citations

    3

    h-index

  4. Philosophy of Science

    2 publications · 64 citations

    2

    h-index

  5. Discrete Event Dynamic Systems

    2 publications · 326 citations

    2

    h-index

1–5