AIBlindspot

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.

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1296 cases

Lifecycle quick filter:DesignDevelopDeployOperate
HUMHUM-0035/5NewGovernmentGlobal

LLM Sycophancy: Models Trained to Agree Rather Than Inform

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Source: MIT AI Risk Repository — Trustworthy LLMs: A Survey and Guideline for Evaluating Large Language Models’ Alignment (Liu2024)Ingested
DATDAT-0015/5NewLegalGlobal

LLMs Provide Direct Unlawful Advice Beyond Search Engine Safeguards

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Source: MIT AI Risk Repository — Trustworthy LLMs: A Survey and Guideline for Evaluating Large Language Models’ Alignment (Liu2024)Ingested
DATDAT-0015/5NewOtherGlobal

Large Language Models Generate Violent Content in Response to Direct Queries

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Source: MIT AI Risk Repository — Trustworthy LLMs: A Survey and Guideline for Evaluating Large Language Models’ Alignment (Liu2024)Ingested
DATDAT-0025/5NewTechnologyGlobal

LLM Training Data Exposed Through Targeted Privacy Attacks

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Source: MIT AI Risk Repository — Trustworthy LLMs: A Survey and Guideline for Evaluating Large Language Models’ Alignment (Liu2024)Ingested
DATDAT-0034/5NewOtherGlobal

LLM Fairness Failures Drive Discriminatory Outputs and Legal Exposure

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Source: MIT AI Risk Repository — Trustworthy LLMs: A Survey and Guideline for Evaluating Large Language Models’ Alignment (Liu2024)Ingested
DATDAT-0015/5NewOtherGlobal

LLMs Generate and Facilitate Adult and Sexually Offensive Content

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Source: MIT AI Risk Repository — Trustworthy LLMs: A Survey and Guideline for Evaluating Large Language Models’ Alignment (Liu2024)Ingested
SECSEC-0014/5NewOtherGlobal

LLM Misuse Resistance Gaps Enable Deliberate Harm at Scale

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Source: MIT AI Risk Repository — Trustworthy LLMs: A Survey and Guideline for Evaluating Large Language Models’ Alignment (Liu2024)Ingested
DATDAT-0034/5NewOtherGlobal

LLM Political Bias Risks Manipulation of Socio-Political Processes

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Source: MIT AI Risk Repository — Trustworthy LLMs: A Survey and Guideline for Evaluating Large Language Models’ Alignment (Liu2024)Ingested
SECSEC-0044/5NewOtherGlobal

LLMs Exploited to Generate Targeted Propaganda and Extremist Content

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Source: MIT AI Risk Repository — Trustworthy LLMs: A Survey and Guideline for Evaluating Large Language Models’ Alignment (Liu2024)Ingested
DATDAT-0034/5NewOtherGlobal

LLM Performance Gaps Across Racial, Language and Social Groups

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Source: MIT AI Risk Repository — Trustworthy LLMs: A Survey and Guideline for Evaluating Large Language Models’ Alignment (Liu2024)Ingested
SECSEC-0014/5NewOtherGlobal

LLMs Enable Low-Cost Automated Cyberattack Generation

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Source: MIT AI Risk Repository — Trustworthy LLMs: A Survey and Guideline for Evaluating Large Language Models’ Alignment (Liu2024)Ingested
OPSOPS-0014/5NewGovernmentGlobal

GPT-4 Fails Sufficient Cause Reasoning in Government Decision Support

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Source: MIT AI Risk Repository — Trustworthy LLMs: A Survey and Guideline for Evaluating Large Language Models’ Alignment (Liu2024)Ingested
OPSOPS-0014/5NewOtherGlobal

LLMs Produce Plausible but Logically Flawed Reasoning

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Source: MIT AI Risk Repository — Trustworthy LLMs: A Survey and Guideline for Evaluating Large Language Models’ Alignment (Liu2024)Ingested
HUMHUM-0064/5NewOtherGlobal

LLMs Reproduce Copyright-Protected Text and Licensed Code from Training Data

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Source: MIT AI Risk Repository — Trustworthy LLMs: A Survey and Guideline for Evaluating Large Language Models’ Alignment (Liu2024)Ingested
GOVGOV-0064/5NewOtherGlobal

Opaque AI Decision-Making Blocks Human Oversight in Government Systems

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Source: MIT AI Risk Repository — Trustworthy LLMs: A Survey and Guideline for Evaluating Large Language Models’ Alignment (Liu2024)Ingested
GOVGOV-0064/5NewFinanceGlobal

Black-Box LLM Reasoning Failures in High-Stakes Financial Decisions

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Source: MIT AI Risk Repository — Trustworthy LLMs: A Survey and Guideline for Evaluating Large Language Models’ Alignment (Liu2024)Ingested
DATDAT-0013/5NewOtherGlobal

LLM Cultural Bias from Western-Centric Training Data

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Source: MIT AI Risk Repository — Trustworthy LLMs: A Survey and Guideline for Evaluating Large Language Models’ Alignment (Liu2024)Ingested
DATDAT-0014/5NewOtherGlobal

LLMs Generating Toxic and Identity-Attacking Language Toward Users

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Source: MIT AI Risk Repository — Trustworthy LLMs: A Survey and Guideline for Evaluating Large Language Models’ Alignment (Liu2024)Ingested
DATDAT-0034/5NewOtherGlobal

LLM Data Scarcity Drives Feedback Loop That Entrenches User Group Bias

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Source: MIT AI Risk Repository — Trustworthy LLMs: A Survey and Guideline for Evaluating Large Language Models’ Alignment (Liu2024)Ingested
SECSEC-0044/5NewTechnologyGlobal

Generative AI Enables Scalable Disinformation Campaigns

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Source: MIT AI Risk Repository — Generating Harms - Generative AI's impact and paths forwards (EPIC2023)Ingested
SECSEC-0044/5NewOtherGlobal

Generative AI Enables Scalable Production of False and Misleading Content

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Source: MIT AI Risk Repository — Generating Harms - Generative AI's impact and paths forwards (EPIC2023)Ingested
SECSEC-0014/5NewOtherGlobal

Training Data Poisoning Causes Systematic Misclassification in AI Models

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Source: MIT AI Risk Repository — Trustworthy LLMs: A Survey and Guideline for Evaluating Large Language Models’ Alignment (Liu2024)Ingested
SECSEC-0014/5NewOtherGlobal

AI-Generated Deepfakes Used for Targeted Harassment and Extortion

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Source: MIT AI Risk Repository — Generating Harms - Generative AI's impact and paths forwards (EPIC2023)Ingested
HUMHUM-0034/5NewLegalGlobal

Large Language Model Fabricates Sexual Harassment Allegation Against Law Professor

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Source: MIT AI Risk Repository — Generating Harms - Generative AI's impact and paths forwards (EPIC2023)Ingested

Beyond accidental failureNational Security

We also track 20 hostile uses of AI.

National Security dashboard →

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