IDEAS home Printed from https://ideas.repec.org/p/hal/journl/hal-04121682.html
   My bibliography  Save this paper

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

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    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.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

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

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hal:journl:hal-04121682. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.