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Transparency and reproducibility in artificial intelligence

Author

Listed:
  • Benjamin Haibe-Kains

    (University Health Network
    University of Toronto
    University of Toronto
    Ontario Institute for Cancer Research)

  • George Alexandru Adam

    (University of Toronto
    Vector Institute for Artificial Intelligence)

  • Ahmed Hosny

    (Brigham and Women’s Hospital, Harvard Medical School
    Brigham and Women’s Hospital, Harvard Medical School)

  • Farnoosh Khodakarami

    (University Health Network
    University of Toronto)

  • Levi Waldron

    (CUNY Graduate School of Public Health and Health Policy)

  • Bo Wang

    (University of Toronto
    University of Toronto
    Vector Institute for Artificial Intelligence
    University Health Network)

  • Chris McIntosh

    (University of Toronto
    Vector Institute for Artificial Intelligence
    University Health Network)

  • Anna Goldenberg

    (University of Toronto
    Vector Institute for Artificial Intelligence
    SickKids Research Institute
    CIFAR)

  • Anshul Kundaje

    (Stanford University School of Medicine
    Stanford University)

  • Casey S. Greene

    (University of Pennsylvania
    Alex’s Lemonade Stand Foundation)

  • Tamara Broderick

    (Massachusetts Institute of Technology)

  • Michael M. Hoffman

    (University Health Network
    University of Toronto
    University of Toronto
    Vector Institute for Artificial Intelligence)

  • Jeffrey T. Leek

    (Johns Hopkins Bloomberg School of Public Health)

  • Keegan Korthauer

    (University of British Columbia
    BC Children’s Hospital Research Institute)

  • Wolfgang Huber

    (Genome Biology Unit)

  • Alvis Brazma

    (European Bioinformatics Institute, EMBL-EBI)

  • Joelle Pineau

    (McGill University
    Montreal Institute for Learning Algorithms)

  • Robert Tibshirani

    (Stanford University School of Humanities and Sciences
    Stanford University School of Medicine)

  • Trevor Hastie

    (Stanford University School of Humanities and Sciences
    Stanford University School of Medicine)

  • John P. A. Ioannidis

    (Stanford University School of Humanities and Sciences
    Stanford University School of Medicine
    Stanford University School of Medicine
    Meta-Research Innovation Center at Stanford (METRICS))

  • John Quackenbush

    (Harvard T.H Chan School of Public Health
    Brigham and Women’s Hospital
    Dana-Farber Cancer Institute)

  • Hugo J. W. L. Aerts

    (Brigham and Women’s Hospital, Harvard Medical School
    Brigham and Women’s Hospital, Harvard Medical School
    Maastricht University
    Massachusetts General Hospital, Harvard Medical School)

Abstract

No abstract is available for this item.

Suggested Citation

  • Benjamin Haibe-Kains & George Alexandru Adam & Ahmed Hosny & Farnoosh Khodakarami & Levi Waldron & Bo Wang & Chris McIntosh & Anna Goldenberg & Anshul Kundaje & Casey S. Greene & Tamara Broderick & Mi, 2020. "Transparency and reproducibility in artificial intelligence," Nature, Nature, vol. 586(7829), pages 14-16, October.
    • Handle: RePEc:nat:nature:v:586:y:2020:i:7829:d:10.1038_s41586-020-2766-y
    DOI: 10.1038/s41586-020-2766-y
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    Citations

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    Cited by:

    1. Rostami-Tabar, Bahman & Ali, Mohammad M. & Hong, Tao & Hyndman, Rob J. & Porter, Michael D. & Syntetos, Aris, 2022. "Forecasting for social good," International Journal of Forecasting, Elsevier, vol. 38(3), pages 1245-1257.
    2. Igna, Ioana & Venturini, Francesco, 2023. "The determinants of AI innovation across European firms," Research Policy, Elsevier, vol. 52(2).
    3. Bi, Xuan & Shen, Xiaotong, 2023. "Distribution-invariant differential privacy," Journal of Econometrics, Elsevier, vol. 235(2), pages 444-453.
    4. Mohd Nasrullah Nik Ab Kadir & Najib Majdi Yaacob & Siti Norbayah Yusof & Imi Sairi Ab Hadi & Kamarul Imran Musa & Seoparjoo Azmel Mohd Isa & Balqis Bahtiar & Farzaana Adam & Maya Mazuwin Yahya & Suhai, 2022. "Development of Predictive Models for Survival among Women with Breast Cancer in Malaysia," IJERPH, MDPI, vol. 19(22), pages 1-14, November.
    5. Plantinga, Paul, 2022. "Digital discretion and public administration in Africa: Implications for the use of artificial intelligence," SocArXiv 2r98w, Center for Open Science.
    6. Juan Carlos Henao & Liliana López-Jiménez, 2021. "Disrupción tecnológica, transformación digital y sociedad. Tomo IV, Aires de revolución : nuevos desafíos tecnológicos a las instituciones económicas, financieras y organizacionales de nuestros tiempo," Books, Universidad Externado de Colombia, Facultad de Derecho, number 1283, htpr_v3_i.
    7. Mathieu Chevrier & Brice Corgnet & Eric Guerci & Julie Rosaz, 2024. "Algorithm Credulity: Human and Algorithmic Advice in Prediction Experiments," GREDEG Working Papers 2024-03, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
    8. Chen, Zhongfei & Jiang, Kangqi, 2024. "Digitalization and corporate investment efficiency: Evidence from China," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 91(C).

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