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

Gender Bias in AI: Google Translate Mistakes Female Historians and Male Nurses

This AI incident highlights the need for trustworthy AI governance, as Google Translate mistakenly labeled female historians as male and vic...

Apology from FaceApp over Controversial Skin-Tone Altering Filter: A Case for Responsible AI Governance

FaceApp has issued an apology following criticism of its skin-tone altering filter, which some deem 'racist'. This AI incident maps to the G...

Edit wars on Wikipedia highlight the need for responsible AI governance

An incident involving AI bots used to aid Wikipedia editing revealed a troubling trend of petty edit wars. This underscores the importance o...

Lessons Learned from Kaggle's Fisheries Competition: Promoting Safe and Secure AI

Exploring the fisheries competition on Kaggle sheds light on responsible AI practices. This competition maps to the Govern function in HISPI...

Improving AI's Ability to Compose Christmas Carols: A Responsible AI Approach

Explore the challenges faced by AI in composing Christmas carols, and how Project Cerebellum's Trusted AI Model (TAIM) can help address thes...

Resolving Ski Photo Issue: A Case Study of Google Photos AI

Exploring an incident where Google Photos AI attempted to correct a ski photo, this case study highlights the importance of trustworthy AI a...

Robot Hiring Mishap Highlights Importance of Safe and Secure AI: Store Employs AI That Scares Away Customers

This AI incident, involving a robot hired to help customers, underscores the need for trustworthy AI. The AI, instead, scared away customers...

Misconfigured Reward Systems in AI Applications: A Potential Risk for Trustworthy AI

A recent incident involving a faulty reward function in an AI application serves as a reminder of the importance of responsible AI governanc...

Uber's Self-Driving Car Violates Traffic Law: Emphasizing the Need for Safe and Secure AI Governance

An Uber self-driving car violated a traffic law by running a red light, raising concerns about the need for responsible AI governance. This...

Unpatriotic AI Missteps in China: A Call for Responsible AI Governance

AI misuse by chatbots in China resulted in disciplinary actions, highlighting the need for responsible and trustworthy AI. This AI incident...

Tesla Autopilot Incident Highlights Need for Responsible AI Governance

An incident involving a Tesla driver under the influence raises questions about the effectiveness of autopilot systems and the importance of...

Unusual Incident: AI-Powered Robot Security Guard Malfunctions Near Water Source

In an unexpected turn of events, an AI-powered robot security guard was found submerged in a water fountain. This incident raises questions...

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.