Machine behaviour

Iyad Rahwan (), Manuel Cebrian, Nick Obradovich, Josh Bongard, Jean-François Bonnefon, Cynthia Breazeal, Jacob W. Crandall, Nicholas A. Christakis, Iain D. Couzin, Matthew Jackson, Nicholas R. Jennings, Ece Kamar, Isabel M. Kloumann, Hugo Larochelle, David Lazer, Richard McElreath, Alan Mislove, David C. Parkes, Alex ‘Sandy’ Pentland, Margaret E. Roberts, Azim Shariff, Joshua B. Tenenbaum and Michael Wellman
Additional contact information
Iyad Rahwan: Massachusetts Institute of Technology
Manuel Cebrian: Massachusetts Institute of Technology
Nick Obradovich: Massachusetts Institute of Technology
Josh Bongard: University of Vermont
Cynthia Breazeal: Massachusetts Institute of Technology
Jacob W. Crandall: Brigham Young University
Nicholas A. Christakis: Yale University
Iain D. Couzin: Max Planck Institute for Ornithology
Nicholas R. Jennings: Imperial College London
Ece Kamar: Microsoft Research
Isabel M. Kloumann: Facebook AI, Facebook Inc
Hugo Larochelle: Google Brain, Montreal
David Lazer: Northeastern University
Richard McElreath: Max Planck Institute for Evolutionary Anthropology
Alan Mislove: Northeastern University
David C. Parkes: 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

Nature, 2019, vol. 568, issue 7753, 477-486

Abstract: 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
References: Add references at CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
https://www.nature.com/articles/s41586-019-1138-y Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
Working Paper: Machine behaviour (2019)
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:nat:nature:v:568:y:2019:i:7753:d:10.1038_s41586-019-1138-y

Ordering information: This journal article can be ordered from
https://www.nature.com/

DOI: 10.1038/s41586-019-1138-y

Access Statistics for this article

Nature is currently edited by Magdalena Skipper

More articles in Nature from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().