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Toward Agency in Human-AI Collaboration.
IEEE Computer Graphics and Applications
|October 20, 2025
Summary
This study introduces a design space for artificial intelligence (AI) agency in human-AI collaboration. It explores AI
Area of Science:
- Human-Computer Interaction
- Artificial Intelligence
- Cognitive Science
Background:
- Artificial intelligence (AI) is transitioning from task automation to active human interaction.
- Understanding factors shaping human-AI collaboration is crucial as AI integration deepens.
- AI agency, the capacity for action and effect, is under-researched in human-AI collaboration.
Purpose of the Study:
- To address the research gap concerning AI agency in human-AI collaboration.
- To propose a comprehensive design space for reasoning about AI agency.
- To outline key dimensions for designing AI agency in collaborative systems.
Main Methods:
- Literature review to consolidate existing concepts on AI agency.
- Expert interviews to gather insights on AI agency in collaborative contexts.
- Development of a conceptual model with perspectives on distribution, modeling, and attribution.
Main Results:
- A design space framework for AI agency in human-AI collaboration.
- Identification of key dimensions: distribution, modeling, and attribution of AI agency.
- Application of the framework to analyze three mixed-initiative systems.
Conclusions:
- The proposed framework provides a structured approach to designing and understanding AI agency.
- Highlights critical research gaps and future directions in human-AI collaboration.
- Emphasizes the importance of AI agency for effective and dynamic human-AI interaction.
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