Machine behaviour

Iyad Rahwan (), Manuel Cebrian, Nick Obradovich, Josh Bongard, Jean-François Bonnefon, Cynthia Breazeal, Jacob W. Crandall, Nicholas Christakis, Iain Couzin, Matthew Jackson, Nicholas Jennings, Ece Kamar, Isabel Kloumann, Hugo Larochelle, David Lazer, Richard Mcelreath, Alan Mislove, David Parkes, Alex Pentland, Margaret Roberts, Azim Shariff, Joshua Tenenbaum and Michael Wellman
Additional contact information
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]
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
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 [Canada]
Joshua Tenenbaum: MIT - Massachusetts Institute of Technology

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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.

Date: 2019
Note: View the original document on HAL open archive server: https://hal.science/hal-04121682v1
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Published in Nature, 2019, 568, pp.477-486. ⟨10.1038/s41586-019-1138-y⟩

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Journal Article: Machine behaviour (2019)
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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-04121682

DOI: 10.1038/s41586-019-1138-y

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