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Automation Bias (AI Systems)

automation-biasriskPath: /knowledge-base/risks/automation-bias/
E32Entity ID (EID)
← Back to page8 backlinksQuality: 56Updated: 2026-01-29
Page Recorddatabase.json — merged from MDX frontmatter + Entity YAML + computed metrics at build time
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  "title": "Automation Bias (AI Systems)",
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  "dateCreated": "2026-02-15",
  "summary": "Comprehensive review of automation bias showing physician accuracy drops from 92.8% to 23.6% with incorrect AI guidance, 78% of users accept AI outputs without scrutiny, and LLM hallucination rates reach 23-79% depending on context. Documents skill degradation across healthcare, legal, and other domains, with mixed evidence on mitigation effectiveness.",
  "description": "The tendency to over-trust AI systems and accept their outputs without appropriate scrutiny.",
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      "text": "AI & Society, 2025",
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        "title": "AI Distributional Shift",
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External Links
{
  "lesswrong": "https://www.lesswrong.com/tag/automation",
  "eaForum": "https://forum.effectivealtruism.org/topics/automation"
}
Backlinks (8)
idtitletyperelationship
expertise-atrophy-progressionExpertise Atrophy Progression Modelanalysisrelated
expertise-atrophy-cascadeExpertise Atrophy Cascade Modelanalysisrelated
hybrid-systemsAI-Human Hybrid Systemsapproach—
sycophancySycophancyrisk—
automation-bias-cascadeAutomation Bias Cascade Modelanalysis—
mit-ai-risk-repositoryMIT AI Risk Repositoryproject—
accident-overviewAccident Risks (Overview)concept—
institutional-captureAI-Driven Institutional Decision Capturerisk—