{
  "id": 3356,
  "url": "https://arxiv.org/abs/2606.13696v1",
  "title": "AGORA: Can Deliberation and Governance Gates Absorb Participation Bias in Transit Planning?",
  "summary": "Transit network design depends not only on the optimization algorithm but also on who shows up to the public hearing. Current practice often collects one-directional comments from self-selected attendees, leaving participant mix as an uncontrolled source of outcome variation. We present AGORA, a framework that holds the network, demand, and solver fixed while systematically varying meeting composition through stakeholder agents, structured deliberation, and governance gates. Across two standard ",
  "authors": "Jung-Hoon Cho, Cathy Wu",
  "category": "research",
  "topics": "bias-fairness,regulation,agents-autonomy",
  "orgs": null,
  "regions": null,
  "published_at": "2026-05-31T08:00:37.000Z",
  "fetched_at": "2026-07-14T16:30:09.963Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/3356",
  "original_url": "https://arxiv.org/abs/2606.13696v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}