{
  "id": 4818,
  "url": "https://arxiv.org/abs/2605.06439v1",
  "title": "From Review to Design: Ethical Multimodal Driver Monitoring Systems for Risk Mitigation, Incident Response, and Accountability in Automated Vehicles",
  "summary": "As vehicles transition toward higher levels of automation, Driver Monitoring Systems (DMS) have become essential for ensuring human oversight, safety, and regulatory compliance in a vehicle. These systems rely on multimodal sensing and AI-driven inference to assess driver attention, cognitive state, and readiness to take control. While technologically promising, their deployment introduces a complex set of ethical and legal challenges - ranging from privacy and consent to data ownership and algo",
  "authors": "Bilal Khana, Waseem Shariff, Rory Coyne, Muhammad Ali Farooq, Peter Corcoran",
  "category": "research",
  "topics": "regulation,privacy-surveillance,jobs-economy,transparency",
  "orgs": null,
  "regions": null,
  "published_at": "2026-05-07T15:40:17.000Z",
  "fetched_at": "2026-07-14T16:31:17.582Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/4818",
  "original_url": "https://arxiv.org/abs/2605.06439v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}