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AI Incidents

TAIM catalog Map Data source & citation

The 'Flash Crash' of 2010: An Examination of Responsible AI in High-Stakes Trading

Explore the events leading to the 'flash crash' of 2010, a significant incident in financial history triggered by an autonomous trading algo...

The 2010 Flash Crash: Unveiling Its Roots and Strategies for Harm Prevention

In May 2010, the global financial markets experienced a dramatic event known as the Flash Crash. This article delves into its causes, emphas...

The 2010 Flash Crash: A Trading Mishap Fueled by Greed

Exploring the events of the 2010 Flash Crash, a remarkable example of how rapid trading decisions can destabilize financial markets. This in...

The Root Cause of the 2010 'Flash Crash': A Deep Dive

Explore the events leading to the dramatic market drop in May 2010, commonly known as the 'Flash Crash'. Understand the role of algorithmic...

Understanding the Root Causes of the Stock Market Flash Crash

In 2010, a flash crash occurred in the US stock market, causing significant volatility and financial losses. This article dives into the eve...

Understanding the Flash Crash: A Case Study in AI Incident Governance

Delve into the intricacies of the infamous 'Flash Crash' of 2010, a financial market collapse attributed to high-frequency trading algorithm...

The Enduring Lessons from the 2010 Flash Crash Incident

In May 2010, a series of rapid trades led to one of the most significant financial market disruptions in history - the flash crash. This eve...

Navinder Sarao's Arrest: A Case Study in AI Incident Governance

Explore the 2010 Flash Crash incident involving British trader Navinder Sarao, its impact on responsible AI, and lessons learned for trustwo...

Investigation into 2010 Stock Market 'Flash Crash': UK Trader Arrested

A high-frequency trader from the United Kingdom has been arrested in connection with the 2010 stock market 'flash crash', an event that shoo...

Unveiling Lessons Learned: GDC Talk on Resilience in AI

In a riveting discussion at the Game Developers Conference, we delved into real-life anecdotes of AI disasters and their aftermath. These st...

The Misconception of the Neural Net Tank: Debunking an AI Urban Legend

Exploring the origins, misconceptions, and implications of the Neural Net Tank urban legend. Understanding the importance of responsible AI...

The Case for Selective AI Automation: Lessons from Tesla's Production Challenges

A recent incident at Tesla's factory underscores the importance of responsible AI automation. When a factory in Texas was shut down due to a...

Data source

Incident data is from the AI Incident Database (AIID).

When citing the database as a whole, please use:

McGregor, S. (2021) Preventing Repeated Real World AI Failures by Cataloging Incidents: The AI Incident Database. In Proceedings of the Thirty-Third Annual Conference on Innovative Applications of Artificial Intelligence (IAAI-21). Virtual Conference.

Pre-print on arXiv · Database snapshots & citation guide

We use weekly snapshots of the AIID for stable reference. For the official suggested citation of a specific incident, use the “Cite this incident” link on each incident page.