Competent but Rigid: Identifying the Gap in Empowering AI to Participate Equally in Group Decision-Making

要旨

Existing research on human-AI collaborative decision-making focuses mainly on the interaction between AI and individual decision-makers. There is a limited understanding of how AI may perform in group decision-making. This paper presents a wizard-of-oz study in which two participants and an AI form a committee to rank three English essays. One novelty of our study is that we adopt a speculative design by endowing AI equal power to humans in group decision-making. We enable the AI to discuss and vote equally with other human members. We find that although the voice of AI is considered valuable, AI still plays a secondary role in the group because it cannot fully follow the dynamics of the discussion and make progressive contributions. Moreover, the divergent opinions of our participants regarding an "equal AI" shed light on the possible future of human-AI relations.

著者
Chengbo Zheng
Hong Kong University of Science and Technology, Hong Kong, Hong Kong
Yuheng WU
Chinese University of Hong Kong, Shen Zhen, Shen Zhen, China
Chuhan Shi
Hong Kong University of Science and Technology, Hong Kong, China
Shuai Ma
The Hong Kong University of Science and Technology, Hong Kong, China
Jiehui Luo
Dartmouth College, Hanover, New Hampshire, United States
Xiaojuan Ma
Hong Kong University of Science and Technology, Hong Kong, Hong Kong
論文URL

https://doi.org/10.1145/3544548.3581131

動画

会議: CHI 2023

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2023.acm.org/)

セッション: Human AI Collaboration_A

Hall B
6 件の発表
2023-04-25 18:00:00
2023-04-25 19:30:00