Repeated Amazon Repeller Incidents Raise Safety Concerns
An incident involving an Amazon bear repellent malfunctioning occurred this week, leaving a tourist injured in Alaska. This event is not 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
TAIM catalog Map Data source & citationUnintended Activation of Bear Repellant by Amazon Robot Causes Health Incident for 24 Workers
A recent incident at an Amazon warehouse involved one of the company's robots inadvertently deploying a bear repellant, causing 24 workers t...
Read moreOSHA Examines Amazon Warehouse Incident Involving Bear Spray, Leaving Employee Critical
The Occupational Safety and Health Administration (OSHA) has launched an investigation into a recent incident at an Amazon warehouse, where...
Read moreAddressing Discriminatory Practices in Online Ad Delivery: The Importance of Responsible AI
Exploring an incident where certain demographic groups were disproportionately targeted by online advertisements, emphasizing the need for s...
Read moreAccusations of Bias in Google Advertising: Black Names Linked to More Criminal Record Checks
A study reveals that Google's advertising algorithm may be biased, as ads for criminal record checks are 25% more likely to appear when sear...
Read moreThe Importance of Responsible AI: Understanding the Impact of Biases in AI Systems
Explore a recent incident involving an AI system that displayed biased results based on names, highlighting the need for trustworthy and saf...
Read moreGoogle-Generated Ads Expose Potential Racial Bias, Harvard Study Suggests
A recent study by a Harvard researcher raises concerns about racial bias in Google's ad generation process. The findings underscore the need...
Read moreExamining Bias in AI Systems: The Case of Google
In recent years, concerns have been raised about the potential for bias in AI systems. A notable example is the alleged racial bias found in...
Read moreExploring Online Ad Delivery Bias: The Case of Latanya Sweeney and Racial Discrimination
Investigating the role of AI in advertising, Dr. Latanya Sweeney uncovers potential racial bias in online ad delivery. This research highlig...
Read moreGoogle Search Bias Allegations: Harvard Professor Highlights Arrest Ad Disparity in 'Black' Names
A recent study by a Harvard professor suggests that Google search results may disproportionately display arrest-related ads for names associ...
Read moreOnline Advertising Placement: Examining the Role of Embedded Racism
A recent investigation revealed that algorithms used in online advertising platforms may unintentionally reinforce racial biases, leading to...
Read morePromoting Diversity and Fairness in Artificial Intelligence Systems
Exploring the challenges of algorithmic bias and homogenous thinking in AI development, and the importance of diversity, inclusion, and resp...
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.