{
  "id": 11732,
  "url": "https://arxiv.org/abs/2607.15888",
  "title": "Red Light, Grey Zone: A Multi-Perspective Interactive Narrative for Autonomous Driving Ethics",
  "summary": "arXiv:2607.15888v1 Announce Type: new Abstract: Autonomous driving ethics is not only an expert concern, but also a public issue involving risk, responsibility, and governance. However, non-experts often struggle to interpret these issues in concrete incidents, especially when responsibility is distributed across multiple stakeholders. This paper investigates interactive narrative as a public-facing method for eliciting situated ethical reflection on autonomous driving. We present Red Light, Gre",
  "authors": "Mengyi Wei, Nianhua Liu, Chenyu Zuo, Liqiu Meng",
  "category": "research",
  "topics": "regulation,finance-investment",
  "orgs": null,
  "regions": null,
  "published_at": "2026-07-20T04:00:00.000Z",
  "fetched_at": "2026-07-20T05:10:09.534Z",
  "source_slug": "arxiv-cscy",
  "source_name": "arXiv cs.CY",
  "source_homepage": "https://arxiv.org/list/cs.CY/recent",
  "ethics_ai_record_url": "https://ethics.ai/record/11732",
  "original_url": "https://arxiv.org/abs/2607.15888",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}