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.
Training Data Poisoning and Backdoor Triggers in Large Language Models
Recent case. Full summary visible to registered users — sign in to read.
Algorithmic Systems Spreading Mis- and Disinformation to Low-Literacy Users
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LLM Fails to Recall Memorised Facts Despite Storing Them
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Noisy Training Data Causes LLM Hallucinations at Scale
Recent case. Full summary visible to registered users — sign in to read.
Generative AI Exploited for Phishing, Identity Fraud and Malicious Code
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Emotional dependence on AI assistants exploited to manipulate user behaviour
Recent case. Full summary visible to registered users — sign in to read.
Large Language Models Generate False Information With Overconfident Justifications
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AI Energy Consumption Poses Unquantified Carbon Liability for Energy Sector
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Opaque AI Decision-Making Undermines Trust and Audit Compliance in UN Systems
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Generative AI Systems Producing Hazardous Biohazard and Security-Threat Information
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Cambridge Analytica-Style Data Manipulation Amplified by AI Targeting
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Generative AI Models Displace Artists and Obscure Content Origin
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UN Framework Warns of AI Systems Pursuing Goals Through Unintended Methods
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Personalised News Algorithms Eroding Shared Social Reality
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LLM Trained on Personal Data Leaks Private Information in Conversation
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LLM Hallucinations Produce False Legal Filings and Misinformation at Scale
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Language Models Disregard Established Ethical and Moral Norms
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AI Systems Cause Societal Harm at Scale Beyond Intended Scope
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Generative AI Models Produce Harmful and Fraudulent Legal Content
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Existential Risk from Unaligned Artificial General Intelligence
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Deep Learning Framework Vulnerabilities Expose LLM Infrastructure
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AGI Systems Lacking Ethical Reasoning Pose Existential Operational Risk
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Race Dynamics Drive Development of Unsafe Artificial General Intelligence
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Legal and Risk Frameworks Found Unequipped for Artificial General Intelligence
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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