AI Safety Cases

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  "title": "AI Safety Cases",
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  "lastUpdated": "2026-01-30",
  "dateCreated": "2026-02-15",
  "summary": "Safety cases are structured arguments adapted from nuclear/aviation to justify AI system safety, with UK AISI publishing templates in 2024 and 3 of 4 frontier labs committing to implementation. Apollo Research found frontier models capable of scheming in 8.7-19% of test scenarios (reduced to 0.3-0.4% with deliberative alignment training), revealing fundamental evidence reliability problems. Interpretability provides less than 5% of needed insight for robust safety cases; mechanistic interpretability \"still has considerable distance\" to cover per 2025 expert review.",
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      "text": "International AI Safety Report 2025",
      "url": "https://internationalaisafetyreport.org/publication/international-ai-safety-report-2025",
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      "text": "Apollo Research (2025)",
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      "resourceTitle": "More capable models scheme at higher rates"
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      "text": "2025 field analysis",
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      "text": "circuit tracing",
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      "resourceTitle": "DeepMind: Deepening AI Safety Research with UK AISI"
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      "text": "RSP v2.2",
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      "resourceTitle": "Seoul Declaration for Safe, Innovative and Inclusive AI"
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      "text": "Common Elements of Frontier AI Safety Policies",
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      "text": "Coefficient Giving RFP",
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