| Literature DB >> 31019318 |
Iyad Rahwan1,2,3, Manuel Cebrian4, Nick Obradovich4, Josh Bongard5, Jean-François Bonnefon6, Cynthia Breazeal4, Jacob W Crandall7, Nicholas A Christakis8,9,10,11, Iain D Couzin12,13,14, Matthew O Jackson15,16,17, Nicholas R Jennings18,19, Ece Kamar20, Isabel M Kloumann21, Hugo Larochelle22, David Lazer23,24,25, Richard McElreath26,27, Alan Mislove24, David C Parkes28,29, Alex 'Sandy' Pentland4, Margaret E Roberts30, Azim Shariff31, Joshua B Tenenbaum32, Michael Wellman33.
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.Entities:
Mesh：
Year: 2019 PMID： 31019318 DOI： 10.1038/s41586-019-1138-y
Source DB: PubMed Journal: Nature ISSN： 0028-0836 Impact factor: 49.962