{
  "id": 5716,
  "url": "https://arxiv.org/abs/2604.16224v1",
  "title": "\"Taking Stock at FAccT\": Using Participatory Design to Co-Create a Vision for the Fairness, Accountability and Transparency Community",
  "summary": "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 t",
  "authors": "Shiran Dudy, Jan Simson, Yanan Long",
  "category": "research",
  "topics": "bias-fairness,regulation,transparency",
  "orgs": null,
  "regions": null,
  "published_at": "2026-04-17T16:37:41.000Z",
  "fetched_at": "2026-07-14T16:31:57.534Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/5716",
  "original_url": "https://arxiv.org/abs/2604.16224v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}