Three Lessons from Citizen-Centric Participatory AI Design
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arXiv
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| Main Authors: | , , , , , , , |
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| Format: | Preprint |
| Published: |
2026
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| _version_ | 1866910016520323072 |
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| author | Schneiders, Eike Kiden, Sarah Zhang, Beining Arcanjo, Bruno Rafael Queiros Li, Zhaoxing Periyathambi, Ezhilarasi Yazdanpanah, Vahid Stein, Sebastian |
| author_facet | Schneiders, Eike Kiden, Sarah Zhang, Beining Arcanjo, Bruno Rafael Queiros Li, Zhaoxing Periyathambi, Ezhilarasi Yazdanpanah, Vahid Stein, Sebastian |
| contents | This workshop paper examines challenges in designing agentic AI systems from a citizen-centric perspective. Drawing on three participatory workshops conducted in 2025 with members of the general public and cross-sector stakeholders, we explore how societal values and expectations shape visions of future AI agents. Using constructive design research methods, participants engaged in storytelling and lo-fi prototyping to reflect on potential community impacts. We identify three key challenges: enabling meaningful and sustained public engagement, establishing a shared language between experts and lay participants, and translating speculative participant input into implementable systems. We argue that reflexive, long-term participation is essential for responsible and actionable citizen-centric AI development. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2602_08554 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Three Lessons from Citizen-Centric Participatory AI Design Schneiders, Eike Kiden, Sarah Zhang, Beining Arcanjo, Bruno Rafael Queiros Li, Zhaoxing Periyathambi, Ezhilarasi Yazdanpanah, Vahid Stein, Sebastian Computers and Society Human-Computer Interaction This workshop paper examines challenges in designing agentic AI systems from a citizen-centric perspective. Drawing on three participatory workshops conducted in 2025 with members of the general public and cross-sector stakeholders, we explore how societal values and expectations shape visions of future AI agents. Using constructive design research methods, participants engaged in storytelling and lo-fi prototyping to reflect on potential community impacts. We identify three key challenges: enabling meaningful and sustained public engagement, establishing a shared language between experts and lay participants, and translating speculative participant input into implementable systems. We argue that reflexive, long-term participation is essential for responsible and actionable citizen-centric AI development. |
| title | Three Lessons from Citizen-Centric Participatory AI Design |
| topic | Computers and Society Human-Computer Interaction |
| url | https://arxiv.org/abs/2602.08554 |