Public Database
Case Studies
Every approved AI failure case, classified against the AI Blindspot Framework. Filter by category, lifecycle stage, industry, geography, or date.
Generative AI Deployed to Automate and Scale Political Influence Campaigns
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AI Personalised Advertising Exploits Consumer Biases in Retail
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AI Systems Using Dark Patterns and Covert Nudging to Manipulate User Behaviour
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AI Systems Delivering Unqualified Specialist Advice Across Finance, Health, Law and Elections
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AI Systems Cause Discriminatory Outcomes Against Protected Groups
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AI Market Concentration Threatens Competition and Access
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Demographic Homogeneity in AI Research and Development Workforce
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LLM Moral Reasoning Failures in Automated Decision Systems
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Dominant AI Models Creating Systemic Monoculture Risk
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AI Computing Infrastructure Exposed to Resource Hijacking and Cross-Boundary Security Threats
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AI-Driven Competitive Manipulation Through Unethical Market Tactics
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AI-Generated Content Undermines User Authenticity and Identity Verification
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AI-Driven Human Role Substitution Creates Systemic Societal Risk
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Safety Evaluation Shortcuts Driven by Competitive Pressure in GPAI Development
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Misaligned AI Objectives in High-Stakes Government Decision-Making
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Homogeneous AI Models Drive Synchronised Market Instability in Finance
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AI Concentration Enables Authoritarian Value Enforcement at Scale
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AI Capabilities Enabling Surveillance and Democratic Process Manipulation
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AI Systems Amplifying Legal but Harmful Animal Exploitation Practices
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AI Deception Capability Enabling Treacherous Turn and Loss of Human Control
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AI-Driven Automation Risks Structural Unemployment Among Low- and Middle-Income Workers
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Diffuse AI Accountability Across Multi-Party Development Chains
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Generative AI Systems Present False Information as Authoritative Fact
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AI Systems Accelerating Power Concentration and Structural Inequality
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