Machine behaviour

被引：713

作者：

Rahwan, Iyad ^{[1
,2
,3
]}

Cebrian, Manuel ^{[1
]}

Obradovich, Nick ^{[1
]}

Bongard, Josh ^{[4
]}

Bonnefon, Jean-Francois ^{[5
]}

Breazeal, Cynthia ^{[1
]}

Crandall, Jacob W. ^{[6
]}

Christakis, Nicholas A. ^{[7
,8
,9
,10
]}

Couzin, Iain D. ^{[11
,12
,13
]}

Jackson, Matthew O. ^{[14
,15
,16
]}

Jennings, Nicholas R. ^{[17
,18
]}

Kamar, Ece ^{[19
]}

Kloumann, Isabel M. ^{[20
]}

Larochelle, Hugo ^{[21
]}

Lazer, David ^{[22
,23
,24
]}

McElreath, Richard ^{[25
,26
]}

Mislove, Alan ^{[23
]}

Parkes, David C. ^{[27
,28
]}

Pentland, Alex 'Sandy' ^{[1
]}

Roberts, Margaret E. ^{[29
]}

Shariff, Azim ^{[30
]}

Tenenbaum, Joshua B. ^{[31
]}

Wellman, Michael ^{[32
]}

机构：

[1] MIT, Media Lab, Cambridge, MA 02139 USA

[2] MIT, Inst Data Syst & Soc, 77 Massachusetts Ave, Cambridge, MA 02139 USA

[3] Max Planck Inst Human Dev, Ctr Humans & Machines, Berlin, Germany

[4] Univ Vermont, Dept Comp Sci, Burlington, VT USA

[5] Univ Toulouse Capitole, Toulouse Sch Econ TSM R, CNRS, Toulouse, France

[6] Brigham Young Univ, Dept Comp Sci, Provo, UT 84602 USA

[7] Yale Univ, Dept Sociol, New Haven, CT USA

[8] Yale Univ, Dept Stat & Data Sci, New Haven, CT USA

[9] Yale Univ, Dept Ecol & Evolutionary Biol, New Haven, CT USA

[10] Yale Univ, Yale Inst Network Sci, New Haven, CT USA

[11] Max Planck Inst Ornithol, Dept Collect Behav, Constance, Germany

[12] Univ Konstanz, Dept Biol, Constance, Germany

[13] Univ Konstanz, Ctr Adv Study Collect Behav, Constance, Germany

[14] Stanford Univ, Dept Econ, Stanford, CA 94305 USA

[15] Canadian Inst Adv Res, Toronto, ON, Canada

[16] Sante Fe Inst, Santa Fe, NM USA

[17] Imperial Coll London, Dept Comp, London, England

[18] Imperial Coll London, Dept Elect & Elect Engn, London, England

[19] Microsoft Res, Redmond, WA USA

[20] Facebook Inc, Facebook AI, New York, NY USA

[21] Google Brain, Montreal, PQ, Canada

[22] Northeastern Univ, Dept Polit Sci, Boston, MA 02115 USA

[23] Northeastern Univ, Coll Comp & Informat Sci, Boston, MA 02115 USA

[24] Harvard Univ, Inst Quantitat Social Sci, Cambridge, MA 02138 USA

[25] Max Planck Inst Evolutionary Anthropol, Leipzig, Germany

[26] Univ Calif Davis, Dept Anthropol, Davis, CA 95616 USA

[27] Harvard Univ, Sch Engn & Appl Sci, Cambridge, MA 02138 USA

[28] Harvard Univ, Harvard Data Sci Initiat, Cambridge, MA 02138 USA

[29] Univ Calif San Diego, Dept Polit Sci, San Diego, CA 92103 USA

[30] Univ British Columbia, Dept Psychol, Vancouver, BC, Canada

[31] MIT, Dept Brain & Cognit Sci, E25-618, Cambridge, MA 02139 USA

[32] Univ Michigan, Comp Sci & Engn, Ann Arbor, MI 48109 USA

来源：

NATURE | 2019年 / 568卷 / 7753期

关键词：

EVERY PLANAR MAP; NEURAL-NETWORKS; ROBOTS; GAME; PERSPECTIVE; PERCEPTION; ALGORITHMS; MECHANISMS; PREDICTION; SCIENCE;

D O I：

10.1038/s41586-019-1138-y

中图分类号：

O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

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.

引用

页码：477 / 486

页数：10

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