Autopilot AI Incident: Tesla Vehicle Mistakes Red Reflective Tape for Traffic Lights
This AI incident highlights the importance of responsible AI in autonomous vehicles. The Tesla Autopilot system failed to recognize a red tr...
Read moreValues 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
Data source & citationNYPD's AI-Powered Robot Dog Incident: A Lesson in Responsible AI Governance
The incident involving the NYPD's robot dog highlights the importance of safe and secure AI. This AI incident maps to the Govern function in...
Read moreRace in AI: Major Universities Use Predictive Analytics to Forecast Student Success
This article discusses the use of race as a high-impact predictor of student success by major universities, highlighting potential ethical a...
Read moreUnderstanding the 'Robo-Debt' Issue in French Welfare Services: A Case Study for Responsible AI
This article examines an unfortunate incident where automated systems used by French welfare services allegedly created incorrect debt asses...
Read moreThousands Accused of Fraud by Discriminatory Algorithm: An Important Reminder for Safe and Responsible AI
A recent incident involving a discriminatory algorithm highlights the importance of trustworthy AI governance. This AI incident maps to the...
Read moreStruggles of Personal Voice Assistants with Black Voices Highlighted in New Study - Reinforcing the Need for Responsible AI
A recent study sheds light on the challenges black users face with voice assistants, emphasizing the importance of trustworthy AI. This AI i...
Read moreTwitter's Face Detection Algorithm Bias Towards White Women: An Examination of Responsible AI
Exploring a concerning instance of algorithmic bias in Twitter's photo crop function, this article sheds light on the importance of trustwor...
Read moreExploring the Impact of California's Equity Algorithm on Vaccine Distribution: A Responsible AI Concern
This AI incident highlights a potential harm in California's equity algorithm, which may inadvertently exclude 2 million struggling Californ...
Read moreControversy over Tesla's Autopilot: Assessing Safety Claims vs Real-World Incidents
This AI incident raises questions about the safety of Tesla's Autopilot system. While Tesla claims it enhances vehicle safety, crash victims...
Read moreSouth Korean Chatbot Incident Illustrates the Importance of Responsible AI and Data Governance
This AI incident highlights the need for trustworthy AI and robust data governance. The mishandling of user data by a South Korean chatbot u...
Read moreDisturbing Huawei Patent for AI-Powered Uighur Detection: A Concern for Trustworthy AI
This AI patent incident highlights the need for responsible AI governance and safe AI practices. The patent suggests Huawei's development of...
Read moreAI Mistakenly Identifies Minor as Banned Troublemaker at Roller Rink - Highlighting the Importance of Responsible AI
An incident involving a teen being denied entry to a roller rink due to an erroneous identification by AI serves as a reminder of the need f...
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.