Incident 31: Driverless Train in Delhi Crashes due to Braking Failure

Description: A driverless metro train in Delhi, India crashed during a test run due to faulty brakes.

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Alleged: unknown developed an AI system deployed by , which harmed Delhi Metro Rail Corporation.

Incident Stats

Incident ID
31
Report Count
29
Incident Date
2017-12-03
Editors
Sean McGregor

CSET Taxonomy Classifications

Taxonomy Details

Full Description

A driverless metro train in Delhi, India crashed during a test run due to faulty brakes. The train, developed by Huandai Rotem and managed by Delhi Metro Rail Corporation, was being tested six days before its inauguration to the public when it failed to stop at the end of the track, running through a wall. Nobody was injured. The DMRC has fired four employees as they had neglected to check the brake system prior to the testing.

Short Description

A driverless metro train in Delhi, India crashed during a test run due to faulty brakes.

Severity

Negligible

Harm Type

Harm to physical health/safety, Harm to physical property

Location

Delhi, India

Named Entities

Delhi Metro Rail Corporation, Hyuandai Rotem

Technology Purveyor

Delhi Metro Rail Corporation, Hyuandai Rotem

Beginning Date

2017-12-19T08:00:00.000Z

Ending Date

2017-12-19T08:00:00.000Z

Near Miss

Near miss

Intent

Accident

Lives Lost

No

Infrastructure Sectors

Transportation

GMF Taxonomy Classifications

Taxonomy Details

Known AI Goal

Autonomous Driving

Potential AI Technology

Other domain-specific approaches

Potential AI Technical Failure

Hardware Failure, Misuse

Delhi Metro crash

Delhi Metro crash

telegraphindia.com

Variants

A "variant" is an incident that shares the same causative factors, produces similar harms, and involves the same intelligent systems as a known AI incident. Rather than index variants as entirely separate incidents, we list variations of incidents under the first similar incident submitted to the database. Unlike other submission types to the incident database, variants are not required to have reporting in evidence external to the Incident Database. Learn more from the research paper.

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