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Rogue AI Scenarios

rogue-ai-scenariosriskPath: /knowledge-base/risks/rogue-ai-scenarios/
E490Entity ID (EID)
← Back to page1 backlinksQuality: 55Updated: 2026-02-13
Page Recorddatabase.json — merged from MDX frontmatter + Entity YAML + computed metrics at build time
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  "title": "Rogue AI Scenarios",
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  "dateCreated": "2026-02-15",
  "summary": "Analysis of five scenarios for agentic AI takeover-by-accident—sandbox escape, training signal corruption, correlated policy failure, delegation chain collapse, and emergent self-preservation—none requiring superhuman intelligence. Warning shot likelihood varies: delegation chains and self-preservation offer high warning probability (90%/80%), while correlated policy failure and training corruption offer low probability (40%/35%).",
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accident-overviewAccident Risks (Overview)concept—