Driverless Delhi Metro Train Crash: Incident Highlights Need for Safe AI Governance
A recent accident involving a driverless Magenta line train in Delhi highlights the importance of responsible AI governance. The incident, which resulted in property damage, underscores the need for robust guardrails to ensure safe and secure AI operations. This AI incident maps to the Govern function in HISPI Project Cerebellum Trusted AI Model (TAIM). Read full statement. JOIN US to learn more about how you can contribute to harm prevention efforts and help shape the future of responsible AI.
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.