Public Database

Case Studies

Every approved AI failure case, classified against the AI Blindspot Framework. Filter by category, lifecycle stage, industry, geography, or date.

Submit a case study →

HUMHUM-0035/5NewGovernmentGlobal

LLM Sycophancy: Models Trained to Agree Rather Than Inform

Recent case. Full summary visible to registered users — sign in to read.

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

Recent case. Full summary visible to registered users — sign in to read.

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

Recent case. Full summary visible to registered users — sign in to read.

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

Recent case. Full summary visible to registered users — sign in to read.

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

Recent case. Full summary visible to registered users — sign in to read.

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

Recent case. Full summary visible to registered users — sign in to read.

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

Recent case. Full summary visible to registered users — sign in to read.

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

Recent case. Full summary visible to registered users — sign in to read.

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

Recent case. Full summary visible to registered users — sign in to read.

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

Recent case. Full summary visible to registered users — sign in to read.

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

Recent case. Full summary visible to registered users — sign in to read.

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

Recent case. Full summary visible to registered users — sign in to read.

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

Recent case. Full summary visible to registered users — sign in to read.

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

Recent case. Full summary visible to registered users — sign in to read.

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

Recent case. Full summary visible to registered users — sign in to read.

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

Recent case. Full summary visible to registered users — sign in to read.

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

Recent case. Full summary visible to registered users — sign in to read.

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

Recent case. Full summary visible to registered users — sign in to read.

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

Recent case. Full summary visible to registered users — sign in to read.

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

Recent case. Full summary visible to registered users — sign in to read.

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

Recent case. Full summary visible to registered users — sign in to read.

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

Recent case. Full summary visible to registered users — sign in to read.

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

Recent case. Full summary visible to registered users — sign in to read.

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

Recent case. Full summary visible to registered users — sign in to read.

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