用参与式设计重构AI公平性会议治理，让学者与公众共同定义议题方向。
"Taking Stock at FAccT": Using Participatory Design to Co-Create a Vision for the Fairness, Accountability and Transparency Community
- 通过现场工作坊与在线投票结合，让参与者共创会议议程。
- 形成多份共识、分歧与不确定性的可视化报告，推动反思性治理。
- 为大型学术社区提供可复制的协同设计范式，适合关注科技伦理的团队参考。
作为新兴论坛，ACM FAccT已成为活动家与学者批判性审视人工智能与机器学习技术的重要平台，汇聚了来自不同领域的学术界、民间社会及政府代表，探讨已部署和拟议技术的广泛社会影响。本文报告了一项大规模参与式设计（PD）过程，用于反思性会议治理：包括线下CRAFT工作坊、异步Polis投票，以及向FAcct领导层提交的治理报告。参与者通过撰写初始声明、补充新观点并进行投票，使共识、分歧与不确定性得以可视化。该实践是首次将参与式设计应用于批判性审视人工智能社会影响的会议，为批判性学者提供了自由发声的空间。同时，本研究推进了大规模参与式设计理论，提供了一个可在时间与认知层面快速扩展的协同设计案例。
原文摘要 · Abstract (English)
As a relatively new forum, ACM FAccT has become a key space for activists and scholars to critically examine emerging AI and ML technologies. It brings together academics, civil society members, and government representatives from diverse fields to explore the broader societal impacts of both deployed and proposed technologies. We report a large-scale participatory design (PD) process for reflexive conference governance, which combined an in-person CRAFT session, an asynchronous Polis poll and the synthesis of a governance-facing report for the FAccT leadership. Participants shaped the substantive agenda by authoring seed statements, adding new statements and making patterns of agreement, disagreement and uncertainty made visible through voting.Our endeavors represent one of the the first instances of applying PD to a venue that critically interrogates the societal impacts of AI, fostering a niche in which critical scholars are free to voice their concerns. Finally, this work advances large-scale PD theory by providing an effective case study of a co-design paradigm that can readily scale temporally and epistemologically.
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