Incident #126: Analyzing an AI Malfunction - Promoting Responsible AI and Harm Prevention
This AI incident serves as a valuable learning opportunity, highlighting the importance of trustworthy AI in our daily lives. By understandi...
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 & citationResponsible AI Incident Report: #125 - Ensuring Safe and Secure AI Operations
This AI incident highlights the importance of trustworthy AI operations. Understanding such incidents is crucial for harm prevention in AI s...
Read moreExploring Incident #119 in the AI Incident Database: Ensuring Trustworthy AI
Delve into the details of incident #119, a valuable learning opportunity for responsible AI development. By understanding its implications,...
Read moreAI Incident #114: Understanding Its Impact on Safe and Secure AI
Exploring an incident that highlights the need for robust AI governance. This AI incident maps to the Govern function in HISPI Project Cereb...
Read moreIncident #115: Unintended Autonomous Vehicle Behavior
Exploring the unforeseen consequences of an autonomous vehicle's unexpected behavior, this AI incident underscores the importance of trustwo...
Read moreAI Incident #116: Unintended Consequence in Predictive Model Leads to Misclassification
This AI incident involves a misclassification error in a predictive model, demonstrating the importance of rigorous testing and safeguards f...
Read moreAI Incident 117: Unintended Consequences in Sentiment Analysis System
Explore the unexpected outcomes of a sentiment analysis AI system, emphasizing the need for robust AI governance and safe and secure AI. Thi...
Read moreExploring AI Incident #118: Safe and Secure AI in Practice
Delve into Incident #118, a real-world example that highlights the importance of trustworthy AI. This AI incident maps to the Govern functio...
Read moreAI Incident 121: Unintended Consequences in Autonomous Vehicle Decision-making
Unravel the unexpected outcome of an autonomous vehicle's decision-making process in this incident, highlighting the need for safe and secur...
Read moreAI Incident #123: Examining an Instance of Model Bias
Exploring a real-world AI incident involving model bias, this article underscores the need for responsible AI and robust governance mechanis...
Read moreAI Incident Analysis #122: Highlighting Harm Prevention and the Role of Govern in Trustworthy AI
Dive into a detailed analysis of AI Incident #122, emphasizing its significance for harm prevention and alignment with the 'Govern' function...
Read moreIncident 177: Unintended Consequences in Predictive Maintenance System
Uncovering the unintended consequences of a predictive maintenance system's AI model, highlighting the importance of robust AI governance fo...
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.