AI Incident #163: Unintended Consequences in Autonomous Vehicle Decision Making
Explore this AI incident, demonstrating the complexities of autonomy and the need for robust guardrails in autonomous vehicle decision makin...
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 & citationUnsafe Autonomous Vehicle Incident #162: A Case for Responsible AI Governance
In this chilling account, an autonomous vehicle misinterpreted a stop sign, causing an accident. This incident underscores the critical need...
Read moreIncident 161: Unintended Consequences of an Autonomous Vehicle
This AI incident involving an autonomous vehicle highlights the importance of responsible AI governance in preventing harm. It maps to the G...
Read moreAI Incident 160: Analyzing a Critical Moment in AI Governance
Dive into this comprehensive analysis of AI Incident 160, shedding light on the importance of governance in shaping trustworthy AI. This inc...
Read moreAI Incident 154: A Case Study on Harm Prevention in Responsible AI
Explore the details of AI incident #154, a valuable learning opportunity that highlights the importance of safe and secure AI. This incident...
Read moreAI Incident #149: Unintended Consequences of an Autonomous Vehicle
Explore the recent autonomous vehicle incident (#149) that demonstrates the need for robust safety measures in AI systems. This incident map...
Read moreAI Incident 150: Exploring Harm Prevention in Responsible AI
Delve into the details of incident 150, a critical examination of an AI malfunction that underscores the importance of safe and secure AI. T...
Read moreResponsible AI Incident #151: An Examination
Explore the details of this significant AI incident, which highlights the need for safe and secure AI governance. This incident maps to the...
Read moreExploring Incident #152 in the Context of AI Governance
Delve into Incident #152, an insightful case study demonstrating the importance of robust governance mechanisms in AI systems. This AI incid...
Read moreAI Incident 153: Understanding and Addressing Bias in Recommender Systems
Explore the implications of AI bias in a real-world example involving a recommendation system. This incident highlights the need for robust...
Read moreResponsible AI Incident Analysis: Case Study #156
Explore the details of a significant AI incident (#156). This case study highlights potential risks in AI systems, reinforcing the need for...
Read moreUnveiling Incident 158: A Case Study in AI Governance
Explore the details of Incident 158, a significant event showcasing the importance of safe and secure AI. This AI incident maps to the Gover...
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.