Understanding the Yandex Chatbot Incident: A Step Towards Responsible AI
Explore the latest incident involving Yandex Chatbot, a case study in AI governance. Learn how such incidents highlight the need for safe an...
Read moreValues Statement: We believe AI should cause no harm, but enhance the quality of human life, by proactively adopting our AI Governance framework.
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AI Incidents
Data source & citationGoogle Translate Mistakes: Female Historians and Male Nurses Do Not Exist - A Harmful AI Incident
This AI incident, involving Google Translate, showcases the importance of responsible AI governance. It highlights a gender bias in language...
Read moreApology for Controversial Skin-Tone Filter in FaceApp: A Case Study on the Importance of Responsible AI
FaceApp has issued an apology following a backlash over its controversial 'racist' filter, which alters users' skintones. This AI incident u...
Read moreEdit Wars on Wikipedia: A Case Study of Unintended Consequences in AI Development and the Need for Responsible AI Governance
This incident involving AI bots on Wikipedia highlights the potential pitfalls of unchecked AI development. The bots, initially intended to...
Read moreLessons Learned from Kaggle's Fisheries Competition: Enhancing Responsible AI Practices
Delve into insights gained from Kaggle's fisheries competition. Understand the implications of such data-driven solutions on marine ecosyste...
Read moreInefficient AI in Generating Christmas Carols: A Harm Prevention Perspective
This AI incident highlights the limitations of current AI capabilities in generating Christmas carols, emphasizing the need for trustworthy...
Read moreGoogle Photos Misidentifies Ski Photo: An Example of AI Incident Mappling the Govern Function in HISPI Project Cerebellum Trusted AI Model (TAIM)
Incidents like this highlight the need for responsible AI governance. Google Photos mislabeled a ski photo, underscoring the importance of s...
Read moreAI Incident: Store's Attempt to Enhance Customer Service Backfires Due to AI Robot Scaring Customers
This AI incident demonstrates the importance of safe and secure AI in customer-facing roles. A store hired a robot to assist customers, but...
Read moreDangerous Reward Systems in AI Applications: A Call for Responsible AI
Exploring a recent incident involving faulty reward functions in AI applications, we underscore the importance of trustworthy AI and safe AI...
Read moreUber's Self-Driving Car Violates Traffic Regulations: Understanding AI Incident and Harm Prevention
A recent incident involving Uber's self-driving car running a red light highlights the importance of safe and secure AI. This AI incident ma...
Read moreUnpatriotic Messages from Chinese Chatbots Prompt Regulation: A Case Study for Responsible AI Governance
This AI incident involving chatbots spreading unpatriotic messages in China underscores the need for responsible AI governance. It maps to t...
Read moreTesla Autopilot Incident Highlights Importance of Responsible AI Governance
An incident involving a Tesla vehicle operating on autopilot reinforces the necessity for trustworthy, safe and secure AI. This AI incident...
Read moreData 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.