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.

翻译：本研讨会论文从公民中心视角审视了设计能动人工智能系统所面临的挑战。基于2025年与普通公众及跨领域利益相关者开展的三场参与式研讨会，我们探讨了社会价值观与期望如何塑造未来智能体的愿景。通过运用建构性设计研究方法，参与者借助故事叙述和低保真原型制作来反思对社区的潜在影响。我们识别出三大关键挑战：实现有意义且持续的公众参与、建立专家与非专业参与者之间的共同语言，以及将参与者的前瞻性构想转化为可实施的系统。我们认为，具有反思性的长期参与对于开发负责任且可操作的公民中心人工智能至关重要。