Delhi Metro Accident: Unattended Driverless Train Crashes Through Wall - Highlighting the Importance of AI Governance
In a concerning incident, a driverless Magenta line train in Delhi Metro crashed through a wall today. This AI incident underscores the need for robust governance and guardrails for AI systems to ensure safe and secure operation. The HISPI Project Cerebellum Trusted AI Model (TAIM) specifically emphasizes the Govern function in addressing such incidents. Read full statement. JOIN US
Source
Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/31
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.