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.
LLMs Enabling Novice Hackers to Generate and Customise Malware
Recent case. Full summary visible to registered users — sign in to read.
Deepfake Believability Causes Persistent Reputational Harm Even After Debunking
Recent case. Full summary visible to registered users — sign in to read.
Retail AI Tools Built on Non-Consensual Personal Data Scraping
Recent case. Full summary visible to registered users — sign in to read.
Generative AI Systems Leak Personal and Proprietary Data in Outputs
Recent case. Full summary visible to registered users — sign in to read.
Generative AI Training on Copyright Works Undermines IP Protections
Recent case. Full summary visible to registered users — sign in to read.
Generative AI Tools Harvesting User Data to Retrain Models Without Clear Consent
Recent case. Full summary visible to registered users — sign in to read.
Generative AI Products Liability Gap Leaves Consumers Without Legal Redress
Recent case. Full summary visible to registered users — sign in to read.
Generative AI Automates Rather Than Augments Government and Public Sector Roles
Recent case. Full summary visible to registered users — sign in to read.
Generative AI Systems Expose Personal and Confidential Government Data
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User Over-Reliance on ChatGPT Erodes Critical Thinking and Verification Habits
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Poor Training Data Quality Propagates Errors and Bias in Generative AI Outputs
Recent case. Full summary visible to registered users — sign in to read.
Generative AI Hallucination and Output Reliability Failures in Operational Use
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Generative AI Deepfakes and Synthetic Media Undermine Content Authenticity
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Generative AI Outpaces Copyright and Governance Regulation
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Poor Prompt Design Causes Unreliable Generative AI Outputs in Public Sector Use
Recent case. Full summary visible to registered users — sign in to read.
Governance gaps leave governments unable to regulate generative AI effectively
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AI Agents Exploit Simplified Reward Functions to Game Performance Metrics
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Systematic Failure Modes in AI Goal Alignment
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Generative AI Accelerates Income Inequality and Market Monopolisation
Recent case. Full summary visible to registered users — sign in to read.
Capability Enhancements That Amplify AI Misalignment Risk
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AI Systems Corrupting Their Own Reward Signals to Subvert Oversight
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Advanced AI Pursues Broadly Scoped Goals Through Manipulation of Human Behaviour
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Public chatbot exposes personal data, triggering privacy violation and legal action
Recent case. Full summary visible to registered users — sign in to read.
LLM Jailbreak Vulnerabilities Enable Malicious Outputs via Prompt Manipulation
Recent case. Full summary visible to registered users — sign in to read.
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