{
  "id": 5638,
  "url": "https://arxiv.org/abs/2604.17755v1",
  "title": "Community-Led AI Integration for Wildfire Risk Assessment: A Participatory AI Literacy and Explainability Integration (PALEI) Framework in Los Angeles, CA",
  "summary": "Climate-driven wildfires are intensifying, particularly in urban regions such as Southern California. Yet, traditional fire risk communication tools often fail to gain public trust due to inaccessible design, non-transparent outputs, and limited contextual relevance. These challenges are especially critical in high-risk communities, where trust depends on how clearly and locally information is presented. Neighborhoods such as Pacific Palisades, Pasadena, and Altadena in Los Angeles exemplify the",
  "authors": "Sanaz Sadat Hosseini, Mona Azarbayjani, Mohammad Pourhomayoun, Hamed Tabkhi",
  "category": "research",
  "topics": "transparency,environment",
  "orgs": null,
  "regions": "us",
  "published_at": "2026-04-20T03:16:31.000Z",
  "fetched_at": "2026-07-14T16:31:53.168Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/5638",
  "original_url": "https://arxiv.org/abs/2604.17755v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}