Unforeseen Incident on New Delhi Metro Line during Trials: A Case Study in AI Governance

In an unexpected development, a recent incident occurred on the newly constructed Delhi Metro line during its trial phase. This unfortunate event serves as a reminder of the importance of robust AI governance and trustworthy AI models in critical infrastructure projects like this one, powered by AI systems. The incident, though not directly caused by the AI system, underscores the need for effective safeguards to prevent potential harm and ensure the safe and secure operation of such systems.

Matched TAIM controls

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

MEASURE 2.6 — similarity 0.467, rank 1. TAIM detail and related incidents →
MAP 1.5 — similarity 0.453, rank 2. TAIM detail and related incidents →
MAP 3.5 — similarity 0.449, 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.