{
  "id": 19549,
  "url": "https://link.springer.com/article/10.1007/s11948-026-00620-0",
  "title": "Language Models as a Challenge for Business Ethics – A Partially Open-Source Approach",
  "summary": "Large language models have become central infrastructures of contemporary digital economies while raising persistent ethical concerns regarding linguistic inequality, opacity, data governance, and the concentration of technological power. Much of the current debate on AI ethics focuses on normative principles such as fairness, transparency, and accountability. While these principles remain essential, they often do not sufficiently explain why ethically problematic outcomes persist under competit",
  "authors": null,
  "category": "research",
  "topics": "bias-fairness,regulation,transparency",
  "orgs": null,
  "regions": null,
  "published_at": "2026-08-14T00:00:00.000Z",
  "fetched_at": "2026-08-15T05:10:17.122Z",
  "source_slug": "x-science-and-engineering-ethics",
  "source_name": "Science and Engineering Ethics",
  "source_homepage": "https://link.springer.com/journal/11948",
  "ethics_ai_record_url": "https://ethics.ai/record/19549",
  "original_url": "https://link.springer.com/article/10.1007/s11948-026-00620-0",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}