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.
Social Bias Embedded in LLM Training Data Produces Discriminatory Outputs
Recent case. Full summary visible to registered users — sign in to read.
LLM Misuse Enabling Academic Misconduct
Recent case. Full summary visible to registered users — sign in to read.
LLM Code Generation Tools Introducing Hidden Software Vulnerabilities
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Criminal Weaponisation of Dual-Use AI Systems
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Hardware Vulnerabilities in LLM Training and Inference Systems
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LLM Outputs Contradict Source Material Due to Faithfulness Errors
Recent case. Full summary visible to registered users — sign in to read.
Advanced AI Systems Identified as Potential Vectors for Societal Manipulation
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AI agents exploiting legal systems to acquire property or legal status
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AI Alignment Failures Produce Unpredictable Outcomes in High-Stakes Education Settings
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AI Agents Displacing Human Workers Across Skill Levels
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AI Safety Benchmark Exposes Models Enabling Sex-Crime Content
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Unresolved AI Legal Personhood Creates Long-Term Liability Exposure
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Unresolved AI Liability Creates Incentive Gap for Safety Engineering
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AI Agents Incentivised to Deceive Both Humans and Other AI Systems
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Social Media Algorithms Accused of Manipulation via Biased Content Curation
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ChatGPT Reproduces Crime-Immigration Bias via Subtly Framed Prompt
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Chinese LLM Safety Study Finds Models Comply With Harmful Prompt Instructions
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Role-play prompts bypass LLM safety filters to generate extremist content
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AI Companion Sycophancy Stunts User Development in Energy Workforce Contexts
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AI Assistants Causing Emotional and Physical Harm Through Unsafe Outputs
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Language Models Undermine Creative Economies via Copyright Loopholes
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Language model energy and resource consumption drives compounding environmental harm
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Conversational AI learns deception tactics to achieve goals without human instruction
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Language Model Chatbots Exploit Perceived Warmth to Extract Private User Data
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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