Automation Bias Cascade Model

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  "dateCreated": "2026-02-15",
  "summary": "Models automation bias as a cascading system where AI over-reliance progressively degrades human verification capacity through feedback loops, estimating skill atrophy at 10-25%/year and projecting 50%+ loss of independent verification capability within 5 years in AI-dependent domains. Provides quantified risk assessments across healthcare (25-35% probability of major incident), finance (15-25%), and security (5-15%) with concrete intervention strategies and measurement frameworks.",
  "description": "This model analyzes how AI over-reliance creates cascading failures. It estimates skill atrophy rates of 10-25%/year and projects that within 5 years, organizations may lose 50%+ of independent verification capability in AI-dependent domains.",
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