{
  "id": 14405,
  "url": "https://www.darkreading.com/cybersecurity-analytics/stronger-ai-safety-requires-peeking-inside-black-box",
  "title": "Stronger AI Safety Requires Peeking Inside the 'Black Box'",
  "summary": "Researchers propose focusing on identification of certain cognitive elements in LLMs that indicate when AI systems may take an unwanted action.",
  "authors": "Robert Lemos",
  "category": "news",
  "topics": "safety-alignment",
  "orgs": null,
  "regions": null,
  "published_at": "2026-07-28T20:05:32.000Z",
  "fetched_at": "2026-07-29T05:10:12.205Z",
  "source_slug": "x-dark-reading-ai-security",
  "source_name": "Dark Reading (AI security)",
  "source_homepage": "https://www.darkreading.com",
  "ethics_ai_record_url": "https://ethics.ai/record/14405",
  "original_url": "https://www.darkreading.com/cybersecurity-analytics/stronger-ai-safety-requires-peeking-inside-black-box",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}