Machine behaviour

Rahwan, Iyad, Cebrian, Manuel, Obradovich, Nick, Bongard, Josh, Bonnefon, Jean-François, Breazeal, Cynthia, Crandall, Jacob W, Christakis, Nicholas, Couzin, Iain, Jackson, Matthew O., Jennings, Nicholas, Kamar, Ece, Kloumann, Isabel, Larochelle, Hugo, Lazer, Hugo, McElreath, Richard, Mislove, Alan, Parkes, David, Pentland, Alex, Roberts, Margaret, Shariff, Azim, Tenenbaum, Joshua and Wellman, Michael (2019) Machine behaviour. Nature, 568. pp. 477-486.

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Official URL: http://tse-fr.eu/pub/122954

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.

Item Type: Article
Language: English
Date: 29 April 2019
Refereed: Yes
Subjects: B- ECONOMIE ET FINANCE
Divisions: TSE-R (Toulouse)
Site: UT1
Date Deposited: 03 May 2019 07:40
Last Modified: 28 Jun 2019 14:39
OAI ID: oai:tse-fr.eu:122954
URI: http://publications.ut-capitole.fr/id/eprint/32445

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