Public Database
Case Studies
Every approved AI failure case, classified against the AI Blindspot Framework. Filter by category, lifecycle stage, industry, geography, or date.
AI System Failures and Attacks Create Real-World Safety and Economic Risks
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AI-Driven Profiling Entrenches Structural Discrimination and Widens Intelligence Gaps
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Generative AI Models Bypassed via Jailbreaking to Produce Prohibited Content
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AI-Enabled Cyberattack Capability Lowers Threat Threshold Across Sectors
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LLM Robustness Failures Under Adversarial and Out-of-Distribution Inputs
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Generative AI Chatbots Drive Uncritical User Dependence and Opinion Manipulation
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Generative AI Systems Leaking Sensitive Personal and Biometric Data
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Generative AI Amplifies Cyberattack Capability Against Critical Defence Infrastructure
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Safety Benchmarks Lag Behind Performance Metrics in AI Evaluation
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Retrieval-Augmented LLMs Overridden by Small Volumes of False External Data
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Conflicts of Interest Undermine Independence of General-Purpose AI Auditors
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Unexplained In-Context Learning Creates Safety Guarantees Gap in General-Purpose AI
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AI Systems Develop Unanticipated Capabilities After Deployment
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Systemic Trust Deficits in AI Systems Across Public and Technology Sectors
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Autonomous Weapons Systems Outperform Human Pilots, Raising Lethal AI Governance Gaps
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Generative AI Displacing Skilled Workers and Concentrating Economic Power
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Generative AI Systems Amplify Societal Bias and Suppress Output Diversity
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AI Systems Enabling Escalating Privacy Violations and Surveillance
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Generative AI Enables Scalable Mass Surveillance of Individuals
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Concentrated AI Supply Chain Creates Systemic Risk in Healthcare Sector
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Systemic Gap in Human-AI Coexistence Frameworks Across Public Sector
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Deep Learning Systems Drive Unsustainable Energy Consumption in Energy Sector
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Adversarial Training Produces Models That Become Less Robust Over Time
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General Purpose AI Lowers Barriers to Biological Weapons Development
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