Let's Talk About Race: Identity, Chatbots, and AI

被引:88
|
作者
Schlesinger, Ari [1 ]
O'Hara, Kenton P. [2 ]
Taylor, Alex S. [3 ]
机构
[1] Georgia Inst Technol, Sch Interact Comp, Atlanta, GA 30332 USA
[2] Microsoft Res, Cambridge, England
[3] City Univ London, Ctr HCI Design, London, England
来源
PROCEEDINGS OF THE 2018 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS (CHI 2018) | 2018年
关键词
chatbots; race; artificial intelligence;
D O I
10.1145/3173574.3173889
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Why is it so hard for chatbots to talk about race? This work explores how the biased contents of databases, the syntactic focus of natural language processing, and the opaque nature of deep learning algorithms cause chatbots difficulty in handling race-talk. In each of these areas, the tensions between race and chatbots create new opportunities for people and machines. By making the abstract and disparate qualities of this problem space tangible, we can develop chatbots that are more capable of handling race-talk in its many forms. Our goal is to provide the HCI community with ways to begin addressing the question, how can chatbots handle race-talk in new and improved ways?
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页数:14
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