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Exploring the Impact of AI Value Alignment in Collaborative Ideation: Effects on Perception, Ownership, and Output (2402.12814v3)

Published 20 Feb 2024 in cs.HC

Abstract: 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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Authors (3)
  1. Alicia Guo (4 papers)
  2. Pat Pataranutaporn (17 papers)
  3. Pattie Maes (46 papers)
Citations (2)
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