AI-Driven Institutional Decision Capture

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  "title": "AI-Driven Institutional Decision Capture",
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  "llmSummary": "Comprehensive analysis of how AI systems could capture institutional decision-making across healthcare, criminal justice, hiring, and governance through systematic biases. Documents 85% racial bias in resume screening, 3.46x healthcare referral disparities, and 77% higher risk scores for Black defendants, with projected systemic capture by 2030-2040 as automation bias and organizational dependencies entrench algorithmic control while preserving illusion of human oversight.",
  "description": "AI systems could systematically bias institutional decisions in healthcare, criminal justice, hiring, and governance. Evidence shows 85% racial bias in resume screening LLMs, 3.46x disparity in healthcare algorithm referrals for Black patients, and 77% higher risk scores for Black defendants. By 2035, distributed AI adoption could create invisible societal steering with limited democratic recourse.",
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