AI's social sciences deficit

被引：36
|
作者：
Sloane, Mona [1 ,2 ]
Moss, Emanuel [2 ]
机构：
[1] NYU, New York, NY 10003 USA
[2] CUNY, Grad Ctr, New York, NY USA
来源：
NATURE MACHINE INTELLIGENCE | 2019年 / 1卷 / 08期
关键词：
BIG DATA;
D O I：
10.1038/s42256-019-0084-6
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
To create less harmful technologies and ignite positive social change, AI engineers need to enlist ideas and expertise from a broad range of social science disciplines, including those embracing qualitative methods, say Mona Sloane and Emanuel Moss.
引用
收藏
页码：330 / 331
页数：2
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