Extending a Human-AI Collaboration Framework with Dynamism and Sociality

被引:5
作者
Muller, Michael [1 ]
Weisz, Justin D. [2 ]
机构
[1] IBM Res, Cambridge, MA 02142 USA
[2] IBM Res, Yorktown Hts, NY USA
来源
PROCEEDINGS OF THE 1ST ANNUAL MEETING OF THE SYMPOSIUM ON HUMAN-COMPUTER INTERACTION FOR WORK, CHIWORK 2022 | 2022年
关键词
AI; frameworks; human-AI collaboration; autonomy; initiative; control; ARTIFICIAL-INTELLIGENCE; CREATIVITY; BOTS;
D O I
10.1145/3533406.3533407
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
We propose an integrated framework of Collaborating Humans and AIs (CHA) for the design, analysis, and critique of human-AI applications in current and future workplaces. Through four use cases, we explore different configurations of humans working with intelligent systems, informed by a 70-year history of frameworks of human-machine interaction. We make two primary contributions: (1) In contrast to prior analyses of mixed-initiative human-AI systems, we demonstrate that complex organizational applications involve dynamic shifts and exchanges of human and machine initiative. (2) We extend the analyses to include multi-user configurations, in which we can examine the sometimes-invisible human roles behind those structures, interrogate power relationships, and uncover mismatches between the desired and available levels of human and AI initiative.
引用
收藏
页数:12
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