Driverless Train in Delhi Crashes due to Braking Failure

December 3, 2017

A driverless metro train in Delhi, India experienced a catastrophic crash during a test run due to a failure in its braking system. This unfortunate incident underscores the importance of trustworthy and safe AI practices. To prevent such accidents, the HISPI Project Cerebellum TAIM (Govern) plays a crucial role in implementing guardrails for AI. JOIN US to contribute towards responsible AI governance.

Learn how this incident maps to the HISPI Project Cerebellum TAIM by Governance and explore more incidents in our AI incident database.

Matched TAIM controls

Suggested mapping from embedding similarity (not a formal assessment). Browse all TAIM controls

MEASURE 2.6 — similarity 0.730, rank 1. TAIM detail and related incidents →
GOVERN 1.2 — similarity 0.679, rank 2. TAIM detail and related incidents →
MANAGE 4.3 — similarity 0.678, rank 3. TAIM detail and related incidents →

Alleged deployer: delhi-metro-rail-corporation
Alleged developer: unknown
Alleged harmed parties: delhi-metro-rail-corporation

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

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