Driverless Delhi Metro Magenta Line Train Incident: Preventive Measures for Safe and Secure AI

On the eve of its launch by PM Modi, the driverless Magenta Line train of the Delhi Metro experienced a crash. This unfortunate incident raises concerns about responsible AI governance in public transportation systems. The AI system, designed to ensure smooth operation, failed to prevent this accident. Such incidents highlight the importance of trustworthy AI models and guardrails for safe and secure operation. HISPI Project Cerebellum TAIM, our comprehensive AI incident database, serves as a crucial tool for harm prevention in AI applications like this one. JOIN US to learn more about how you can contribute to responsible AI development.

Matched TAIM controls

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

MEASURE 2.6 — similarity 0.471, rank 1. TAIM detail and related incidents →
GOVERN 6.2 — similarity 0.452, rank 2. TAIM detail and related incidents →
MANAGE 4.3 — similarity 0.442, rank 3. TAIM detail and related incidents →

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.