{
  "id": 16348,
  "url": "https://link.springer.com/article/10.1007/s00146-026-03173-9",
  "title": "AIDLC–governance indicator framework: a lifecycle-based approach to institutional AI governance",
  "summary": "Governments increasingly deploy algorithmic and AI-enabled systems in welfare administration, fraud detection, eligibility determination, and frontline service delivery. As these systems become embedded in routine public administration, agencies face rising expectations to sustain procedural fairness, accountability, and transparency throughout system development and long-term operation. Recent public-sector failures suggest that governance responsibilities are frequently fragmented across organ",
  "authors": null,
  "category": "research",
  "topics": "bias-fairness,regulation,transparency",
  "orgs": null,
  "regions": null,
  "published_at": "2026-08-04T00:00:00.000Z",
  "fetched_at": "2026-08-05T05:10:44.550Z",
  "source_slug": "x-ai-society",
  "source_name": "AI & Society",
  "source_homepage": "https://link.springer.com/journal/146",
  "ethics_ai_record_url": "https://ethics.ai/record/16348",
  "original_url": "https://link.springer.com/article/10.1007/s00146-026-03173-9",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}