Can AI communication tools increase legislative responsiveness and trust in democratic institutions?

被引:9
作者
Kreps, Sarah [1 ,3 ]
Jakesch, Maurice [2 ,4 ]
机构
[1] Cornell Univ, Dept Govt, 313 White Hall, Ithaca, NY 14853 USA
[2] Cornell Univ, Dept Informat Sci, 313 White Hall, Ithaca, NY 14853 USA
[3] Cornell Univ, Brooks Sch Publ Policy, Ithaca, NY 14853 USA
[4] Cornell Tech, Jacobs Inst, New York, NY 10044 USA
关键词
Artificial intelligence; Political communication; Representation; GPT-3; Trust; Transparency;
D O I
10.1016/j.giq.2023.101829
中图分类号
G25 [图书馆学、图书馆事业]; G35 [情报学、情报工作];
学科分类号
1205 ; 120501 ;
摘要
Smart replies, writing enhancements, and virtual assistants powered by artificial intelligence (AI) language technologies are becoming part of consumer products and everyday experiences. This study explores the op-portunities and risks of using language-generating AI systems in politics to increase legislative responsiveness. Legislators receive a large volume of constituent communication and often cannot devote individual consider-ation and timely response to each. Here, AI language technologies may allow legislators to process constituent communication more efficiently. For example, AI writing tools can suggest reply snippets when a staffer responds to a common concern. However, legislative human-AI collaboration could reduce constituent trust or undermine the representative process. In two experiments, we compared constituents' impressions of human-written leg-islative correspondence to correspondences partially or fully generated by GPT-3, a state-of-the-art language model. Our results suggest that legislative correspondence generated by AI with human oversight may be received favorably and increase constituent trust compared to generic auto-responses that busy legislators may employ. However, poorly performing AI language technologies may damage confidence in the legislator. Our findings highlight the potential and risks of introducing AI-mediated communication to the representation process. We discuss the importance of disclosure, transparency, and maintaining human-in-the-loop account-ability for political deployments of AI language technologies.
引用
收藏
页数:11
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