3e0092c17f60ec9de67c · Robust AI Security and Alignment: A Sisyphean Endeavor?

{
  "title_en": "Robust AI Security and Alignment: A Sisyphean Endeavor?",
  "designation": "",
  "series": "",
  "status": "",
  "date": "2026-05-14",
  "date_original": "May 14, 2026",
  "url": "https://www.nist.gov/publications/robust-ai-security-and-alignment-sisyphean-endeavor",
  "source": "NIST Publications",
  "display_en": "",
  "authors_en": "Apostol Vassilev",
  "abstract_excerpt_en": "This article establishes information-theoretic limitations for robustness of artificial intelligence (AI) security and alignment. Knowing these limitations and preparing for their challenges is essential for responsible adoption of AI. Broader implications",
  "id": "3e0092c17f60ec9de67c",
  "sources": [
    "NIST Publications"
  ],
  "source_records": [
    {
      "title_en": "Robust AI Security and Alignment: A Sisyphean Endeavor?",
      "designation": "",
      "series": "",
      "status": "",
      "date": "2026-05-14",
      "date_original": "May 14, 2026",
      "url": "https://www.nist.gov/publications/robust-ai-security-and-alignment-sisyphean-endeavor",
      "source": "NIST Publications",
      "display_en": "",
      "authors_en": "Apostol Vassilev",
      "abstract_excerpt_en": "This article establishes information-theoretic limitations for robustness of artificial intelligence (AI) security and alignment. Knowing these limitations and preparing for their challenges is essential for responsible adoption of AI. Broader implications"
    }
  ],
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}