Author
Listed:
- Iyad Rahwan
(Massachusetts Institute of Technology
Massachusetts Institute of Technology
Max Planck Institute for Human Development)
- Manuel Cebrian
(Massachusetts Institute of Technology)
- Nick Obradovich
(Massachusetts Institute of Technology)
- Josh Bongard
(University of Vermont)
- Jean-François Bonnefon
(Université Toulouse Capitole)
- Cynthia Breazeal
(Massachusetts Institute of Technology)
- Jacob W. Crandall
(Brigham Young University)
- Nicholas A. Christakis
(Yale University
Yale University
Yale University
Yale University)
- Iain D. Couzin
(Max Planck Institute for Ornithology
University of Konstanz
University of Konstanz)
- Matthew O. Jackson
(Stanford University
Canadian Institute for Advanced Research
The Sante Fe Institute)
- Nicholas R. Jennings
(Imperial College London
Imperial College London)
- Ece Kamar
(Microsoft Research)
- Isabel M. Kloumann
(Facebook AI, Facebook Inc)
- Hugo Larochelle
(Google Brain, Montreal)
- David Lazer
(Northeastern University
Northeastern University
Harvard University)
- Richard McElreath
(Max Planck Institute for Evolutionary Anthropology
University of California, Davis)
- Alan Mislove
(Northeastern University)
- David C. Parkes
(Harvard University
Harvard University)
- Alex ‘Sandy’ Pentland
(Massachusetts Institute of Technology)
- Margaret E. Roberts
(University of California, San Diego)
- Azim Shariff
(University of British Columbia)
- Joshua B. Tenenbaum
(Massachusetts Institute of Technology)
- Michael Wellman
(University of Michigan)
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 A. Christakis & Iain D. Couzin & Matthew O. Jackson & Nicholas , 2019.
"Machine behaviour,"
Nature, Nature, vol. 568(7753), pages 477-486, April.
Handle:
RePEc:nat:nature:v:568:y:2019:i:7753:d:10.1038_s41586-019-1138-y
DOI: 10.1038/s41586-019-1138-y
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- 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.
Citations
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Cited by:
- David Pastor-Escuredo, 2021.
"Future of work: ethics,"
Papers
2104.02580, arXiv.org.
- March, Christoph, 2021.
"Strategic interactions between humans and artificial intelligence: Lessons from experiments with computer players,"
Journal of Economic Psychology, Elsevier, vol. 87(C).
- David Pastor-Escuredo & Philip Treleaven, 2021.
"Multiscale Governance,"
Papers
2104.02752, arXiv.org.
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