{
  "id": 5073,
  "url": "https://arxiv.org/abs/2605.01507v2",
  "title": "MILD: Mediator Agent System with Bidirectional Perception and Multi-Layered Alignment for Human-Vehicle Collaboration",
  "summary": "Prior studies report that partial driving automation can increase the cognitive demands on human drivers. This effect largely arises from human drivers' lack of transparent insight into the vehicle's intentions and decision logic, as well as from automated systems' limited awareness of the driver's dynamic state and preferences. This bidirectional misalignment undermines shared situational awareness and exacerbates coordination failures in human-vehicle interaction. To address these limitations,",
  "authors": "Jiyao Wang, Yunbiao Wang, Yubo Jiao, Xiao Yang, Dengbo He, Sasan Jafarnejad et al.",
  "category": "research",
  "topics": "safety-alignment,jobs-economy,agents-autonomy,transparency",
  "orgs": null,
  "regions": null,
  "published_at": "2026-05-02T15:56:59.000Z",
  "fetched_at": "2026-07-14T16:31:31.209Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/5073",
  "original_url": "https://arxiv.org/abs/2605.01507v2",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}