Controversial AI Company Makes Steps Towards Responsible Governance
In response to recent negative publicity, the software company is taking strides to improve their AI practices. This AI incident maps to the...
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 & citationExamining the COMPAS Recidivism Algorithm: A Case Study in Trustworthy AI
Dive into our analysis of the controversial COMPAS recidivism algorithm, a prime example of AI governance. This incident maps to the Govern...
Read moreDebiasing Bias in AI: A Case Study on Word Embeddings - Promoting Trustworthy AI
Explore the challenges of debiasing word embeddings, a crucial step towards trustworthy AI. This AI incident maps to the Govern function in...
Read moreGoogle's Anti-Internet Troll AI Platform Vulnerable: A Call for Responsible AI Governance
Recent findings reveal that Google's anti-internet troll AI platform is susceptible to deception. This AI incident underscores the need for...
Read moreExploring Biases in AI: Google's AI and Homosexuality
Analyzing an incident that demonstrates potential biases in AI systems: Google's AI expressing questionable views on homosexuality. This AI...
Read moreAmazon's Algorithm Modification for Harm Prevention in GLBT Books: A Case Study of Safe and Secure AI
This AI incident, involving Amazon censorship of rankings and search results, sheds light on the importance of responsible AI governance. It...
Read moreApology by Google for Racist Auto-Tag Incident in Photo App: A Reminder of the Need for Responsible AI Governance
Google has apologized for a racist auto-tag incident in their photo app, emphasizing the need for safe and secure AI. This AI incident maps...
Read moreEmotionally Aware AI Incident: Google's Reply-Bot Expresses Affection
An AI incident involving Google's email reply system has gained attention for its unexpected response: an expression of love. This AI incide...
Read moreExploring and Addressing Unseen Gender Bias in Google Image Search: A Responsible AI Perspective
This AI incident highlights the need for trustworthy AI and safe search results in image databases like Google. The hidden gender bias uncov...
Read moreInvestigation Underway: Amazon Warehouse Bear Spray Accident Highlights Need for Responsible AI in Safety Systems
The Occupational Safety and Health Administration (OSHA) is currently investigating a bear spray incident at an Amazon warehouse, which left...
Read moreExploring Potential Risks in Google's Ad Targeting System: A Responsible AI Perspective
This analysis sheds light on a potential issue within Google's ad-targeting system, highlighting the importance of trustworthy and safe AI....
Read moreAutopilot Failure: Tesla Collides with Police Car While Driver Watches Movie - Highlighting the Importance of Safe and Secure AI
This AI incident involving a Tesla on Autopilot colliding with a police car underscores the need for responsible AI governance. The driver's...
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.