Driverless Delhi Metro Train Accident Highlights Need for Responsible AI Governance - Incident Maps to HISPI Project Cerebellum Trusted AI Model
A recent accident involving a driverless Magenta line train in Delhi underscores the importance of trustworthy and safe AI. This incident maps to the Govern function in HISPI Project Cerebellum Trusted AI Model (TAIM). Prevention of such incidents requires robust AI governance and guardrails for AI. Stay informed about AI incident trends and help shape responsible AI by joining us 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.