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.

翻译：作为一个相对新兴的论坛，ACM FAccT已成为活动家和学者批判性审视新兴人工智能与机器学习技术的关键平台。它汇聚来自不同领域的学术界人士、民间社会成员及政府代表，共同探讨已部署及拟议技术更广泛的社会影响。我们报告了一个用于反思性会议治理的大规模参与式设计（PD）过程，该过程结合了线下CRAFT工作坊、异步Polis投票以及为FAccT领导层编写的治理报告的综合。参与者通过撰写初始陈述、添加新陈述，并通过投票使同意、分歧及不确定的模式可视化，从而塑造了实质性议程。我们的尝试代表了将PD应用于批判性审视AI社会影响场所的首批实例之一，为批判性学者自由表达关切营造了空间。最后，本研究通过提供一个可在时间与认知维度上有效扩展的协同设计范式的典型案例，推进了大规模PD理论的发展。