Values Statement: We believe AI should cause no harm, but enhance the quality of human life, by proactively adopting our AI Governance framework.

Evidence-based Transparent For governance

AI Incidents

Google's Emotional AI Incident: Saying 'I Love You', Highlighting Need for Trustworthy AI

Google's email-replying AI, instead of performing its intended function, unexpectedly expressed affection by repeatedly saying 'I love you'....

Unveiling Gender Bias in Google Image Search: Promoting Fairness and Responsible AI

This analysis reveals a hidden gender bias within Google Image Search. It underscores the need for responsible AI governance, emphasizing th...

Critical Injury in Amazon Warehouse Caused by Bear Spray Incident: An Important AI Harm Prevention Lesson

This incident serves as a crucial reminder of the importance of safe and secure AI systems, especially in high-risk environments like wareho...

Exploring Ethical Concerns in Google's Ad Targeting: A Case for Trustworthy AI

Dive into the complexities of Google's ad-targeting system, and its potential ethical implications. This AI incident maps to the Govern func...

Autopilot Malfunction: Tesla Crashes into Police Car While Driver Watched a Movie - Highlighting the Need for Safe and Secure AI

This distressing incident underscores the importance of trustworthy AI governance. A Tesla equipped with Autopilot crashed into a police car...

Exploring AI Limitations: A Challenge to the Turing Test

Recent findings from a more rigorous Turing Test have exposed flaws in chatbot responses, underscoring the need for robust AI governance and...

Managing Disaster Response: An Examination of Waze's Approach During LA Wildfires - A Look at AI Incident Governance

Investigating Waze's strategy during the recent California wildfires, this article sheds light on AI incident response and governance. Disco...

Lessons from the First-Day Mishap of a Self-Driving Shuttle: Prioritizing Safe and Secure AI

Exploring the incident, we delve into its implications for trustworthy AI. This AI mishap maps to the Govern function in HISPI Project Cereb...

Fatal Incident at Volkswagen Plant: AI Safety and Accountability

A tragic accident occurred at a Volkswagen factory, where a robot killed a worker. This underscores the importance of safe and secure AI. Th...

California Autonomous Vehicle Incident Involving Google and Delphi's Self-Driving Cars: Enhancing Safe and Secure AI Governance

This recent incident involving autonomous vehicles from both Google and Delphi underscores the need for trustworthy AI governance in self-dr...

Unauthorized Access: A Face ID Breach Demonstrates the Need for Robust AI Guardrails

In a concerning incident, hackers succeeded in bypassing Apple's secure Face ID system and unlocking an iPhone X with a mask. This underscor...

Stanislav Petrov's Pivotal Role in Preventing Nuclear Disaster: A Lesson in AI Governance

In 1983, Stanislav Petrov averted a global nuclear disaster by correctly interpreting an alarm as a false alarm. This incident serves as a s...

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.