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 Generates Deceptive Outputs Due to Flawed Internal World Model
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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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Generative AI Chatbots Drive Uncritical User Dependence and Opinion Manipulation
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Western bias and unequal participation in AI ethics frameworks
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Generative AI Amplifies Cyberattack Capability Against Critical Defence Infrastructure
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Autonomous Weapons Systems Outperform Human Pilots, Raising Lethal AI Governance Gaps
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Ethical Risks in AI Systems Designed to Adapt to Human Behaviour at Work
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AI-Enabled Cognitive Warfare and Disinformation Infrastructure
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Generative AI Displacing Skilled Workers and Concentrating Economic Power
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AI Systems Raise Systemic Risks of Personal Data Exploitation
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Generative AI Systems Amplify Societal Bias and Suppress Output Diversity
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Generative AI Enables Scalable Mass Surveillance of Individuals
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AI-Enabled Cyberattack Capability Lowers Threat Threshold Across Sectors
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Advanced AI Loss of Control Risk Identified in International Safety Report
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Generative AI Lowers Barrier to Large-Scale Disinformation Campaigns
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Retrieval-Augmented LLMs Overridden by Small Volumes of False External Data
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AI Systems Acquiring Autonomous Agency Beyond Passive Tool Classification
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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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AI R&D Concentration Deepens Global Technology Inequality
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LLM Robustness Failures Under Adversarial and Out-of-Distribution Inputs
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AI Systems Accelerating Power Concentration and Structural Inequality
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