Examining AI Incident #162: A Closer Look at Responsible AI Governance
In this article, we delve into incident #162, a case study that underscores the importance of robust AI governance. The incident involved 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
TAIM catalog Map Data source & citationHarmful Incident #163: Unintended Consequences in an Autonomous Vehicle System
Recent events have highlighted the potential risks associated with autonomous vehicles. In a concerning turn of events, AI system #163, depl...
Read moreIncident Analysis: Unintended Consequences of an Autonomous Vehicle
Explore the recent incident involving an autonomous vehicle that deviated from its intended route, causing minor traffic disruption. This ca...
Read moreExamining AI Incident #165: Unintended Bias in Autocomplete Function
Recently, an unforeseen case of bias was detected in the autocomplete function of a popular search engine. This incident underscores the nee...
Read moreExploring Incident 166 in AI Governance
This article delves into Incident 166, a significant event highlighting the need for responsible AI governance. The incident involved an une...
Read moreIncident 167: An Examination of a Potential Bias in a Retail Recommendation AI
Recent findings from Incident #167 highlight a potential bias within the recommendation algorithm of a popular retail company. The system, d...
Read moreExploring Incident #168 in Responsible AI Governance
This article delves into Incident #168, a case study that highlights the importance of AI governance for harm prevention. The incident invol...
Read moreExploring Incident #169: Unintended Consequences in Predictive Modeling
In this blog post, we delve into Incident #169, a notable instance that underscores the importance of responsible AI. The incident involved...
Read moreExploring the Impact of AI Incident #170: Lessons for Responsible AI Governance
In this blog post, we delve into incident #170, which underscores the critical role of AI governance in ensuring safe and secure operations....
Read moreExamining Incident #171: Navigating Potential Risks in AI Governance
Incident #171 sheds light on a critical moment when the deployment of an autonomous vehicle, powered by an AI system, resulted in an unexpec...
Read moreExamining Incident #172: A Case Study in Responsible AI Governance
Incident #172 showcases the importance of robust AI governance mechanisms. The incident, involving a misconfigured model, led to unintended...
Read moreIncident 173: Unintended AI Response Causes Service Disruption
Recent incident #173 highlights the importance of responsible AI governance as an unintended response by an AI system caused a temporary ser...
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.