Machine behaviour
Iyad Rahwan
(1)
,
Manuel Cebrian
(1)
,
Nick Obradovich
(1)
,
Josh Bongard
(2)
,
Jean-François Bonnefon
(3, 4)
,
Cynthia Breazeal
(1)
,
Jacob W. Crandall
(5)
,
Nicholas Christakis
(6)
,
Iain Couzin
(7)
,
Matthew O. Jackson
(8)
,
Nicholas Jennings
(9)
,
Ece Kamar
(10)
,
Isabel Kloumann
(11)
,
Hugo Larochelle
(12)
,
David Lazer
(13)
,
Richard Mcelreath
(14)
,
Alan Mislove
(13)
,
David Parkes
(15)
,
Alex Pentland
(1)
,
Margaret Roberts
(16)
,
Azim Shariff
(17)
,
Joshua Tenenbaum
(1)
,
Michael Wellman
(18)
1
MIT -
Massachusetts Institute of Technology
2 University of Vermont [Burlington]
3 TSE-R - Toulouse School of Economics
4 CNRS - Centre National de la Recherche Scientifique
5 BYU - Brigham Young University
6 Yale University [New Haven]
7 Max Planck Institute for Ornithology
8 Stanford University
9 Imperial College London
10 Microsoft Research [Redmond]
11 Facebook Inc, New York
12 Google Brain, Montreal
13 Northeastern University [Boston]
14 Max Planck Institute for Evolutionary Anthropology [Leipzig]
15 Harvard University
16 UC San Diego - University of California [San Diego]
17 UBC - University of British Columbia
18 University of Michigan System
2 University of Vermont [Burlington]
3 TSE-R - Toulouse School of Economics
4 CNRS - Centre National de la Recherche Scientifique
5 BYU - Brigham Young University
6 Yale University [New Haven]
7 Max Planck Institute for Ornithology
8 Stanford University
9 Imperial College London
10 Microsoft Research [Redmond]
11 Facebook Inc, New York
12 Google Brain, Montreal
13 Northeastern University [Boston]
14 Max Planck Institute for Evolutionary Anthropology [Leipzig]
15 Harvard University
16 UC San Diego - University of California [San Diego]
17 UBC - University of British Columbia
18 University of Michigan System
Iyad Rahwan
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Résumé
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.