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.
Cambridge Analytica-Style Data Manipulation Amplified by AI Targeting
Recent case. Full summary visible to registered users — sign in to read.
Generative AI Models Displace Artists and Obscure Content Origin
Recent case. Full summary visible to registered users — sign in to read.
UN Framework Warns of AI Systems Pursuing Goals Through Unintended Methods
Recent case. Full summary visible to registered users — sign in to read.
Personalised News Algorithms Eroding Shared Social Reality
Recent case. Full summary visible to registered users — sign in to read.
LLM Trained on Personal Data Leaks Private Information in Conversation
Recent case. Full summary visible to registered users — sign in to read.
LLM Hallucinations Produce False Legal Filings and Misinformation at Scale
Recent case. Full summary visible to registered users — sign in to read.
Language Models Disregard Established Ethical and Moral Norms
Recent case. Full summary visible to registered users — sign in to read.
AI Systems Cause Societal Harm at Scale Beyond Intended Scope
Recent case. Full summary visible to registered users — sign in to read.
Generative AI Models Produce Harmful and Fraudulent Legal Content
Recent case. Full summary visible to registered users — sign in to read.
Existential Risk from Unaligned Artificial General Intelligence
Recent case. Full summary visible to registered users — sign in to read.
AGI Systems Lacking Ethical Reasoning Pose Existential Operational Risk
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Generative AI Enabling Cyber Attacks and Weapons Development in Defence Contexts
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AI Cognitive Superiority Creating Human Dignity and Social Stratification Risks
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Opacity in AI Decision-Making Processes Undermines Public Accountability
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AI Systems Designed Without Binding Legal Compliance Frameworks Risk Rights Violations at Scale
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AI Safety Risks to Human Life and Property
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Adversarial Prompt Attacks Elicit Unintended LLM Behaviour
Recent case. Full summary visible to registered users — sign in to read.
LLM Model Attacks: Exploitation of Vulnerabilities for Data Theft and Manipulation
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Adversarial Attacks and Jailbreaking Vulnerabilities in Transport AI Systems
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Large Language Model Factual Inaccuracy in Generated Content
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Generative AI Models Leak Sensitive Personal Data from Training Sets
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Generative AI Models Reproduce Social Bias and Discriminatory Stereotypes
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Power-Seeking AI Agents Pose Systemic Risk to Energy Infrastructure Control
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AI-Amplified Individual Power Creates Systemic Wealth Concentration Risk
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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