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Machine behaviour

Author

Listed:
  • Iyad Rahwan

    (MIT - Massachusetts Institute of Technology)

  • Manuel Cebrian

    (MIT - Massachusetts Institute of Technology)

  • Nick Obradovich

    (MIT - Massachusetts Institute of Technology)

  • Josh Bongard

    (University of Vermont [Burlington])

  • Jean-François Bonnefon

    (TSE-R - Toulouse School of Economics - UT Capitole - Université Toulouse Capitole - UT - Université de Toulouse - EHESS - École des hautes études en sciences sociales - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement, CNRS - Centre National de la Recherche Scientifique)

  • Cynthia Breazeal

    (MIT - Massachusetts Institute of Technology)

  • Jacob W. Crandall

    (BYU - Brigham Young University)

  • Nicholas Christakis

    (Yale University [New Haven])

  • Iain Couzin

    (Max Planck Institute for Ornithology - Max-Planck-Gesellschaft)

  • Matthew O. Jackson

    (Stanford University)

  • Nicholas Jennings

    (Imperial College London)

  • Ece Kamar

    (Microsoft Research [Redmond] - Microsoft Corporation [Redmond, Wash.])

  • Isabel Kloumann

    (Facebook Inc, New York)

  • Hugo Larochelle

    (Google Brain, Montreal)

  • David Lazer

    (Northeastern University [Boston])

  • Richard Mcelreath

    (Max Planck Institute for Evolutionary Anthropology [Leipzig] - Max-Planck-Gesellschaft)

  • Alan Mislove

    (Northeastern University [Boston])

  • David Parkes

    (Harvard University)

  • Alex Pentland

    (MIT - Massachusetts Institute of Technology)

  • Margaret Roberts

    (UC San Diego - University of California [San Diego] - UC - University of California)

  • Azim Shariff

    (UBC - University of British Columbia)

  • Joshua Tenenbaum

    (MIT - Massachusetts Institute of Technology)

  • Michael Wellman

    (University of Michigan System)

Abstract

Machines powered by artificial intelligence increasingly mediate our social, cultural, economic and political interactions. Understanding the behaviour of artificial intelligence systems is essential to our ability to control their actions, reap their benefits and minimize their harms. Here we argue that this necessitates a broad scientific research agenda to study machine behaviour that incorporates and expands upon the discipline of computer science and includes insights from across the sciences. We first outline a set of questions that are fundamental to this emerging field and then explore the technical, legal and institutional constraints on the study of machine behaviour.

Suggested Citation

  • Iyad Rahwan & Manuel Cebrian & Nick Obradovich & Josh Bongard & Jean-François Bonnefon & Cynthia Breazeal & Jacob W. Crandall & Nicholas Christakis & Iain Couzin & Matthew O. Jackson & Nicholas Jennin, 2019. "Machine behaviour," Post-Print hal-04121682, HAL.
    • Handle: RePEc:hal:journl:hal-04121682
    DOI: 10.1038/s41586-019-1138-y
    as

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    Other versions of this item:

    • Iyad Rahwan & Manuel Cebrian & Nick Obradovich & Josh Bongard & Jean-François Bonnefon & Cynthia Breazeal & Jacob W. Crandall & Nicholas A. Christakis & Iain D. Couzin & Matthew O. Jackson & Nicholas , 2019. "Machine behaviour," Nature, Nature, vol. 568(7753), pages 477-486, April.

    References listed on IDEAS

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    Cited by:

    1. March, Christoph, 2021. "Strategic interactions between humans and artificial intelligence: Lessons from experiments with computer players," Journal of Economic Psychology, Elsevier, vol. 87(C).
    2. David Pastor-Escuredo, 2021. "Future of work: ethics," Papers 2104.02580, arXiv.org.
    3. David Pastor-Escuredo & Philip Treleaven, 2021. "Multiscale Governance," Papers 2104.02752, arXiv.org.

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