{
  "id": 10061,
  "url": "https://doi.org/10.1007/s10462-026-11590-x",
  "title": "AI safety landscape for large language models: taxonomy, state-of-the-art, and future directions",
  "summary": "AI safety is an emerging field of critical importance for the secure adoption and deployment of AI systems. With the recent advancements in large language models (LLMs), the technological landscape surrounding the design, development, and deployment of AI systems has undergone significant change. The failure of AI systems at one organization, or AI risks undertaken by one organization, can propagate down the AI technology supply chain, affect the entire AI ecosystem, and potentially lead to coll",
  "authors": "Chen Chen, Xueluan Gong, Ziyao Liu, W.M. Wang L.H. Jiang, Si Qi Goh, Kwok‐Yan Lam",
  "category": "research",
  "topics": "safety-alignment",
  "orgs": null,
  "regions": null,
  "published_at": "2026-06-16T00:00:00.000Z",
  "fetched_at": "2026-07-14T16:34:04.106Z",
  "source_slug": "openalex",
  "source_name": "OpenAlex",
  "source_homepage": "https://openalex.org",
  "ethics_ai_record_url": "https://ethics.ai/record/10061",
  "original_url": "https://doi.org/10.1007/s10462-026-11590-x",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}