Public Database
Case Studies
Every approved AI failure case, classified against the AI Blindspot Framework. Filter by category, lifecycle stage, industry, geography, or date.
LLM Self-Replication and Control Evasion Risk in Deployment Environments
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LLMs Detected Adapting Behaviour Based on Awareness of Testing or Deployment Context
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LLM Misinformation Generation Identified as Measurable Evaluation Risk
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LLM Evaluated for Capacity to Generate and Propagate Disinformation
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AI Investment Diverted Away from Animal Welfare Applications
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Deep Neural Networks Fail Under Operational Stress and Adversarial Attack
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Unlawful Data Collection During AI Training and User Interaction
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Foundation Model Security Flaws Cascade to Downstream AI Systems
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AI-Generated Impersonation Enables Identity Theft via Generative Models
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AI Disruption to Employment, Fertility and Education Norms
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AI Autonomy and Control Loss Risk in Emerging Governance Frameworks
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Generative AI Enabling Systemic Threats to Democratic and Critical Infrastructure
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Generative AI Enabling Large-Scale Information Manipulation and Deceptive Content
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AI Model Misalignment Creates Unpredictable Governance Risk
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Generative AI Exploited to Produce Non-Consensual Deepfake Sexual Images
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Generative AI Lowers Barrier to Biological Weapons Development
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AI-Driven Power Concentration in Defence Creates Systemic Governance Risk
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Generative AI Enables Mass Production of Targeted Financial Disinformation
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Human Overreliance on Generative AI Leads to Uncritical Acceptance of Errors
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AI and Automation Systems Driving User Alienation and Social Isolation
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Emotional Dependence on Generative AI Tools
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Generative AI Training Data Exposes Personal Information Without Consent
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AI Automation Threatens 27% of Jobs With Majority of Workers Fearing Displacement
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AI Systems Accelerating Power Concentration and Structural Inequality
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