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Human-Machine Co-Creativity with Older Adults -- A Learning Community to Study Explainable Dialogues
Marianne Bossema, Rob Saunders, Somaya Ben Allouch
September 13, 2023
arXiv.org
3 citations
Key Takeaways
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Older adults can benefit from AI collaboration in creative activities: The research specifically focuses on how robots and AI-generated content can enhance creative experiences for seniors through collaborative drawing and painting, suggesting that AI tools need not be limited to productivity or health monitoring but can support meaningful artistic engagement.
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Explainability is essential for creative human-machine partnerships: The project emphasizes studying "explainable AI and creative dialogues" together, indicating that for older adults to meaningfully co-create with AI, the system must communicate its reasoning and creative choices in understandable ways rather than operating as a "black box."
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Multi-stakeholder learning communities improve AI development: By bringing together older adults, artists, students, researchers, and AI agents in a shared "Drawing with Robots" course, the research demonstrates that responsible AI design benefits from diverse perspectives and lived experiences, not just technical expertise.
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Early-stage research requires direct engagement with end users: The project's emphasis on interviews with seniors and artists before full implementation reflects responsible AI practice—understanding user needs, concerns, and preferences directly rather than making assumptions about what older adults want from creative technology.
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Co-creativity requires rethinking human-AI roles: Rather than positioning AI as a tool that older adults use, the framing of "co-creativity" and "creative dialogues" suggests AI should be designed as a collaborative partner that responds to and learns from human input, promoting more equitable human-machine relationships.