Case Study: AI Incident #116 - Navigating Responsible Decision-making
In this exploration, we delve into a real-life incident involving an autonomous vehicle's miscalculation in a busy intersection. The AI model failed to adapt to dynamic traffic conditions, leading to an accident. This case underscores the importance of AI governance and trustworthy AI models in creating safe and secure AI systems. By understanding the lessons learned from this incident, we can implement guardrails for AI to prevent similar mishaps.
HISPI Project Cerebellum TAIM: Map
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HISPI Project Cerebellum TAIM: Map
Engage with our community—JOIN US—to learn more about how you can contribute to our efforts in promoting responsible AI and safe AI practices.
Source
Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/116
Data 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.