{
  "id": 3311,
  "url": "https://arxiv.org/abs/2606.01632v1",
  "title": "A Framework for Graph-Conditioned Hierarchical Shapley Attribution in Patent Valuation",
  "summary": "Estimating the economic contribution of a single patent inside a product that embodies tens of thousands of patents is a long-standing unsolved problem in intellectual property economics. We propose PatentXAI, a framework that treats patent valuation as a problem of explainable AI: given a characteristic function v(S) encoding the revenue achievable by patent subset S, a patent's Shapley value measures its fair share of product profit in a way that satisfies efficiency, symmetry, dummy, and addi",
  "authors": "Joy Bose",
  "category": "research",
  "topics": "copyright-ip,transparency,finance-investment",
  "orgs": null,
  "regions": null,
  "published_at": "2026-06-01T03:33:18.000Z",
  "fetched_at": "2026-07-14T16:30:09.961Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/3311",
  "original_url": "https://arxiv.org/abs/2606.01632v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}