"Taking Stock at FAccT": Using Participatory Design to Co-Create a Vision for the Fairness, Accountability and Transparency Community
Shiran Dudy, Jan Simson, Yanan Long
TLDR
This paper details a large-scale participatory design process used to shape the future vision and governance of the ACM FAccT conference.
Key contributions
- Implemented a large-scale participatory design process for FAccT conference governance.
- Utilized a hybrid approach: in-person CRAFT session, asynchronous Polis poll, and a governance report.
- Enabled participants to shape the agenda by authoring statements and voting on key issues.
- Represents a novel application of participatory design to an AI ethics and societal impact forum.
Why it matters
This work introduces a scalable participatory design process for conference governance, specifically for the FAccT community. It ensures diverse voices shape the future of critical AI ethics discussions, fostering inclusivity and strengthening the community's mission.
Original Abstract
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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