#participatory-design News & Analysis

4 articles tagged with #participatory-design. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

4 articles

AINeutralarXiv – CS AI · Mar 97/10

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Cultural Perspectives and Expectations for Generative AI: A Global Survey Approach

Researchers conducted a large-scale global survey across Europe, Americas, Asia, and Africa to understand cultural perspectives on how generative AI should represent different cultures. The study reveals significant complexities in how communities define culture and provides recommendations for culturally sensitive AI development, including participatory approaches and frameworks for addressing cultural sensitivities.

AINeutralarXiv – CS AI · May 275/10

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LiPUP-MA: A Residential Experience-centric Multi-Agent Framework for Living-in-the-loop Participatory Urban Planning

Researchers introduce LiPUP-MA, an LLM-based multi-agent framework that reimagines participatory urban planning through iterative living simulations rather than static preference gathering. The system uses an experience bank and spatially-constrained planning agents to translate residential feedback into coherent urban design revisions, demonstrating improvements over traditional planning methodologies.

AINeutralarXiv – CS AI · Apr 206/10

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"Taking Stock at FAccT": Using Participatory Design to Co-Create a Vision for the Fairness, Accountability and Transparency Community

ACM FAccT conference employed large-scale participatory design to democratize governance decisions around AI fairness, accountability, and transparency issues. The process combined in-person sessions, asynchronous polling, and community-authored statements to shape the conference agenda and organizational direction.

AINeutralarXiv – CS AI · Apr 106/10

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Designing Safe and Accountable GenAI as a Learning Companion with Women Banned from Formal Education

Researchers conducted a participatory design study with 20 Afghan women excluded from formal education to understand how generative AI can safely support their learning and career development. The study reveals that women view GenAI as a compensatory peer and mentor rather than an information source, while identifying critical needs around privacy protection, cultural safety, and pedagogically sound guidance.