{
  "id": 1036,
  "url": "https://arxiv.org/abs/2606.15055v1",
  "title": "Bridging Geographic Bias in Urban Streetscape Inference via Lifelong Learning with Visual-Semantic Pivoting",
  "summary": "Visual perception of urban streetscapes underpins evidence-based decisions in landscape planning, public health, and place-making. Yet models trained on a few well-photographed metropolises systematically misjudge underrepresented districts, propagating geographic bias into downstream policy. We address this gap with HVSP-LL, a lifelong learning framework that couples a stratified visual-semantic pivoting module with an equity-aware rehearsal mechanism. The pivoting module organises landscape co",
  "authors": "Xinze Zhang",
  "category": "research",
  "topics": "bias-fairness,regulation,healthcare",
  "orgs": null,
  "regions": null,
  "published_at": "2026-06-13T01:52:03.000Z",
  "fetched_at": "2026-07-14T14:14:59.014Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/1036",
  "original_url": "https://arxiv.org/abs/2606.15055v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}