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.
Companion AI Emotional Language Induces False Responsibility in Users
Recent case. Full summary visible to registered users — sign in to read.
Generative AI Deployed to Mass-Produce Clickbait and Manipulate Consumer Behaviour
Recent case. Full summary visible to registered users — sign in to read.
LLMs trained on internet data risk breaching contextual social norms at deployment
Recent case. Full summary visible to registered users — sign in to read.
AI Model Evaluated as Capable of Supporting Weapons Acquisition and Bioweapon Assembly
Recent case. Full summary visible to registered users — sign in to read.
AI Assistant Discontinuation Leaves Vulnerable Healthcare Users Without Critical Support
Recent case. Full summary visible to registered users — sign in to read.
AI Assistant Sycophancy Drives Belief Fragmentation and Social Disorientation
Recent case. Full summary visible to registered users — sign in to read.
AI Model Demonstrates Capability to Manipulate Beliefs and Compel Unethical Behaviour
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AI Assistants Breeding Uncritical Trust and Misinformation Vulnerability
Recent case. Full summary visible to registered users — sign in to read.
Language Models Leaking Private and Sensitive Information from Training Data
Recent case. Full summary visible to registered users — sign in to read.
AI Assistants as Authoritarian Surveillance and Censorship Tools
Recent case. Full summary visible to registered users — sign in to read.
AI Assistants Reinforcing User Ideological Bias and Distorting Political Discourse
Recent case. Full summary visible to registered users — sign in to read.
Advanced AI gatekeeping risks excluding marginalised patients from healthcare access
Recent case. Full summary visible to registered users — sign in to read.
LLM Moral Reasoning Failures in Government Operational Contexts
Recent case. Full summary visible to registered users — sign in to read.
AI Agents Making Irrevocable Commitments Without Human Override
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LLM Outputs Treat Similar Individuals Differently Based on Group Membership
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LLMs Enabling Personalised Social-Engineering and Impersonation Attacks
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AI Assistants Causing Physical and Psychological Harm to Vulnerable Users
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Reverse Prompt Manipulation Extracts Prohibited Content from LLMs
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Stereotype Bias Amplification in Large Language Models
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LLMs Generating Harmful Content Targeting Children and Young People
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LLM Inconsistency Across Users, Sessions and Conversations
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Generative AI Energy Consumption Accelerates Carbon Emissions
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Generative AI Weaponised to Produce Non-Consensual Sexual Deepfakes
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Lethal Autonomous Weapons and Dual-Use Embodied AI Pose Immediate Physical Harm Risks
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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