{
  "id": 17760,
  "url": "https://arxiv.org/abs/2608.07452",
  "title": "Against Explainable Artificial Intelligence In Law: Why Justifiable Ai Matters. A Credit Scoring Example",
  "summary": "arXiv:2608.07452v1 Announce Type: new Abstract: Artificial intelligence-based solutions offer new efficiency-increasing possibilities in many applications, including credit scoring. Yet, the increasing sophistication of machine-learning models in use raises concerns regarding many of their aspects, explainability notwithstanding. We review the relevant EU legal background and integrate this review with insights from technical sciences to interpret relevant legal provisions in the light of techno",
  "authors": "{\\L}ukasz G\\'orski",
  "category": "research",
  "topics": "regulation,transparency",
  "orgs": null,
  "regions": "eu",
  "published_at": "2026-08-10T04:00:00.000Z",
  "fetched_at": "2026-08-10T05:10:00.488Z",
  "source_slug": "arxiv-cscy",
  "source_name": "arXiv cs.CY",
  "source_homepage": "https://arxiv.org/list/cs.CY/recent",
  "ethics_ai_record_url": "https://ethics.ai/record/17760",
  "original_url": "https://arxiv.org/abs/2608.07452",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}