Public Database
Case Studies
Every approved AI failure case, classified against the AI Blindspot Framework. New to AIBlindspot? Start with the overview or the methodology.
Safety Evaluation Shortcuts Driven by Competitive Pressure in GPAI Development
Recent case. Full summary visible to registered users — sign in to read.
Homogeneous AI Models Drive Synchronised Market Instability in Finance
Recent case. Full summary visible to registered users — sign in to read.
AI Systems Amplifying Legal but Harmful Animal Exploitation Practices
Recent case. Full summary visible to registered users — sign in to read.
AI System Failures and Attacks Create Real-World Safety and Economic Risks
Recent case. Full summary visible to registered users — sign in to read.
Western bias and unequal participation in AI ethics frameworks
Recent case. Full summary visible to registered users — sign in to read.
Diffuse AI Accountability Across Multi-Party Development Chains
Recent case. Full summary visible to registered users — sign in to read.
Generative AI Systems Present False Information as Authoritative Fact
Recent case. Full summary visible to registered users — sign in to read.
Ethical Risks in AI Systems Designed to Adapt to Human Behaviour at Work
Recent case. Full summary visible to registered users — sign in to read.
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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AI Systems Raise Systemic Risks of Personal Data Exploitation
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AI-Enabled Cognitive Warfare and Disinformation Infrastructure
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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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Generative AI Amplifies Cyberattack Capability Against Critical Defence Infrastructure
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AI-Enabled Cyberattack Capability Lowers Threat Threshold Across Sectors
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Autonomous Weapons Systems Outperform Human Pilots, Raising Lethal AI Governance Gaps
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Generative AI Enables Scalable Mass Surveillance of Individuals
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Retrieval-Augmented LLMs Overridden by Small Volumes of False External Data
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Generative AI Displacing Skilled Workers and Concentrating Economic Power
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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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LLM Robustness Failures Under Adversarial and Out-of-Distribution Inputs
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AI and Automation Systems Drive Excess Carbon Emissions
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Beyond accidental failureNational Security
We also track 20 hostile uses of AI.
The public database covers AI that fails by accident. AIBlindspot National Security — exclusive to the Defence tier — tracks AI used as a weapon, mapped by capability:
- State-Sponsored AI Operations
- 6
- AI-Enabled Disinformation
- 5
- Adversarial Attacks on AI
- 0
- Autonomous Weapon Incidents
- 1
- AI-Assisted Cyber Attacks
- 5
- Dual-Use AI Misuse
- 3