# Exploring the Impact of AI Value Alignment in Collaborative Ideation: Effects on Perception, Ownership, and Output

arXiv: https://arxiv.org/abs/2402.12814 · HTML: https://mlsanity.com/paper/2402.12814/

## Key facts

- Cited by 12 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 20 Feb 2024.

## Built on by (most cited first, 12 of 12)

- [PersonaFlow: Designing LLM-Simulated Expert Perspectives for Enhanced Research Ideation](https://mlsanity.com/paper/2409.12538/) (2024)
- [Co-Writing with AI, on Human Terms: Aligning Research with User Demands Across the Writing Process](https://mlsanity.com/paper/2504.12488/) (2025)
- [GPT for Games: An Updated Scoping Review (2020-2024)](https://mlsanity.com/paper/2411.00308/) (2024)
- [Where Do I 'Add the Egg'?: Exploring Agency and Ownership in AI Creative Co-Writing Systems](https://mlsanity.com/paper/2509.15440/) (2025)
- [Beyond One-Way Influence: Bidirectional Opinion Dynamics in Multi-Turn Human-LLM Interactions](https://mlsanity.com/paper/2510.20039/) (2025)
- [Analyzing Multimodal Interaction Strategies for LLM-Assisted Manipulation of 3D Scenes](https://mlsanity.com/paper/2410.22177/) (2024)
- [Using Machine Learning to Distinguish Human-written from Machine-generated Creative Fiction](https://mlsanity.com/paper/2412.15253/) (2024)
- [The AI Memory Gap: Users Misremember What They Created With AI or Without](https://mlsanity.com/paper/2509.11851/) (2025)
- [Human-AI Interaction Alignment: Designing, Evaluating, and Evolving Value-Centered AI For Reciprocal Human-AI Futures](https://mlsanity.com/paper/2512.21551/) (2025)
- [AI in the Workplace: The Impact of AI on Perceived Job Decency and Meaningfulness](https://mlsanity.com/paper/2605.28680/) (2026)
- [The New Social Image: How AI Competency and AI Proactivity Influence Self- and Peer-Perceptions in the Workplace](https://mlsanity.com/paper/2606.00182/) (2026)
- [Man, Machine, and Masterpiece: Artistic Ownership in the AI Era](https://mlsanity.com/paper/2607.15027/) (2026)

## Abstract (arXiv)

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.