Machine Behaviour
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Author
Christakis, Nicholas A.
Couzin, Iain D.
Jackson, Matthew O.
Jennings, Nicholas R.
Kamar, Ece
Kloumann, Isabel M.
Larochelle, Hugo
McElreath, Richard
Mislove, Alan
Pentland, Alex ‘Sandy’
Roberts, Margaret E.
Shariff, Azim
Tenenbaum, Joshua B.
Wellman, Michael
Rahwan, Iyad
Obradovich, Nick
Bongard, Josh
Bonnefon, Jean-François
Breazeal, Cynthia
Crandall, Jacob
Published Version
https://doi.org/10.1038/s41586-019-1138-yMetadata
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Rahwan, Iyad, Manuel Cebrian, Nick Obradovich, Josh Bongard, Jean-François Bonnefon, Cynthia Breazeal, Jacob W. Crandall, Nicholas A. Christakis, Iain D. Couzin, Matthew O. 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. 2019. Machine Behaviour. Nature 568: 477–486.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.Terms of Use
This article is made available under the terms and conditions applicable to Other Posted Material, as set forth at http://nrs.harvard.edu/urn-3:HUL.InstRepos:dash.current.terms-of-use#LAACitable link to this page
http://nrs.harvard.edu/urn-3:HUL.InstRepos:42251131
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