Exploring the Impact of AI Value Alignment in Collaborative Ideation: Effects on Perception, Ownership, and Output
CoRR(2024)
摘要
AI-based virtual assistants are increasingly used to support daily ideation
tasks. The values or bias present in these agents can influence output in
hidden ways. They may also affect how people perceive the ideas produced with
these AI agents and lead to implications for the design of AI-based tools. We
explored the effects of AI agents with different values on the ideation process
and user perception of idea quality, ownership, agent competence, and values
present in the output. Our study tasked 180 participants with brainstorming
practical solutions to a set of problems with AI agents of different values.
Results show no significant difference in self-evaluation of idea quality and
perception of the agent based on value alignment; however, ideas generated
reflected the AI's values and feeling of ownership is affected. This highlights
an intricate interplay between AI values and human ideation, suggesting careful
design considerations for future AI-supported brainstorming tools.
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