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arXiv 2602.08554cs.CYcs.HC
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公民中心参与式AI设计的三个启示

Three Lessons from Citizen-Centric Participatory AI Design

The University of Southampton(南安普顿大学)

Eike Schneiders, Sarah Kiden, Beining Zhang, Bruno Rafael Queiros Arcanjo, Zhaoxing Li, Ezhilarasi Periyathambi, Vahid Yazdanpanah, Sebastian Stein

AI总结:

本文通过参与式研讨会探讨公民中心视角下设计代理AI系统所面临的挑战,提出促进公众参与、建立共同语言及转化推测输入为可实施系统的核心问题。

摘要:

本文通过2025年举办的三个参与式研讨会,探讨了从公民中心视角设计代理AI系统所面临的挑战。研究基于公众成员和跨行业利益相关者的参与,探索社会价值观和期望如何塑造未来AI代理的愿景。采用建设性设计研究方法,参与者通过讲故事和低保真原型设计来反思潜在社区影响。我们识别出三个关键挑战:促进有意义且持续的公众参与、建立专家与普通参与者之间的共同语言、以及将推测性参与者输入转化为可实施的系统。我们主张反思性和长期的参与对于负责任且可操作的公民中心AI开发至关重要。

英文摘要:

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.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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