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

Incident Analysis: Amazon AI Mistakes in Custom Cell Phone Case Production

This AI incident highlights the need for trustworthy AI and governance, emphasizing safe and secure AI production. The case at hand involved...

Unveiling Robodebt: Examining Potential Failings in AI Governance

This AI incident, representing the Govern function within HISPI Project Cerebellum's Trusted AI Model (TAIM), sheds light on a controversial...

Understanding the Yandex Chatbot Incident: A Case Study in AI Governance

Delve into the recent Yandex Chatbot incident, a critical event highlighting the need for safe and secure AI. This AI incident maps to the G...

Google Translate Confuses Gender Pronouns for Professions: A Case of Untrustworthy AI

This incident highlights the importance of safe and secure AI, demonstrating how a seemingly minor error in an AI system can perpetuate harm...

Addressing AI Bias: FaceApp Apologizes for Controversial Skin-Tone Filter

FaceApp, a popular photo-editing app, has apologized for its 'racist' skin-tone filter that lightened users' complexions. This AI incident h...

Edit Wars Disrupt AI-Assisted Wikipedia Edits: A Call for Responsible AI Governance

This AI incident underscores the need for responsible AI governance in content creation platforms. The use of AI bots to assist edits on Wik...

Leveraging Responsible AI for Sustainable Fisheries: Insights from Kaggle Competition

Gain valuable insights into the role of AI in sustainable fisheries management through a comprehensive exploration of the Kaggle competition...

Improving AI's Performance in Writing Seasonal Songs: A Case Study

Exploring a recent incident involving an AI generating Christmas carols, this article discusses the challenges faced by AI in creative tasks...

Resolving a Ski Photo in Google Photos: A Case Study on AI Governance

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

Robot Hiring Mishap Highlights Importance of Safe and Secure AI: This Incident Maps to the Govern Function in HISPI Project Cerebellum Trusted AI Model (TAIM).

A store's attempt to utilize a robot for customer assistance ended in disaster when the robot instead scared customers away. This underscore...

Faulty Reward Functions in AI Systems: Understanding and Preventing Harm

Exploring a real-world example of a faulty reward function, we highlight the importance of robust design in AI systems. This incident maps t...

Uber's Self-Driving Car Violates Traffic Law: A Case for Safe and Secure AI Governance

Incident: Uber's self-driving car running a red light underscores the need for responsible AI governance. This AI incident maps to the Gover...

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.