{
  "id": 18428,
  "url": "https://arxiv.org/abs/2608.10431v1",
  "title": "What We Know about Responsible AI Practices in Industry: A Half Decade of Empirical Research",
  "summary": "Responsible AI (RAI) has become a central concern for technology companies, regulators, and the public. How industry practitioners interpret, implement, and sustain RAI work directly shapes the design and deployment of AI systems. As empirical scholarship examining RAI practices in industry has rapidly expanded, findings are dispersed across studies that focus on different roles, organizational contexts, and interventions. This work synthesizes current knowledge through a literature review of 16",
  "authors": "Wesley Hanwen Deng, Agathe Balayn, Andrew Selbst, Jason I. Hong, Motahhare Eslami, Kenneth Holstein et al.",
  "category": "research",
  "topics": "regulation",
  "orgs": null,
  "regions": null,
  "published_at": "2026-08-11T03:29:48.000Z",
  "fetched_at": "2026-08-12T05:10:43.828Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/18428",
  "original_url": "https://arxiv.org/abs/2608.10431v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}