Description: A car reportedly using Google Maps for navigation was misled onto a collapsed bridge in Uttar Pradesh, India, due to outdated GPS data. The car plunged into the river below, resulting in three fatalities.
Tools
New ReportNew ResponseDiscoverView History
The OECD AI Incidents and Hazards Monitor (AIM) automatically collects and classifies AI-related incidents and hazards in real time from reputable news sources worldwide.
Entities
View all entitiesAlleged: Google and Google Maps developed and deployed an AI system, which harmed Vivek Kumar , Amit (family name unknown) , Unidentified victim and Families of the victims.
Alleged implicated AI system: Google Maps
Incident Stats
Risk Subdomain
A further 23 subdomains create an accessible and understandable classification of hazards and harms associated with AI
7.3. Lack of capability or robustness
Risk Domain
The Domain Taxonomy of AI Risks classifies risks into seven AI risk domains: (1) Discrimination & toxicity, (2) Privacy & security, (3) Misinformation, (4) Malicious actors & misuse, (5) Human-computer interaction, (6) Socioeconomic & environmental harms, and (7) AI system safety, failures & limitations.
- AI system safety, failures, and limitations
Entity
Which, if any, entity is presented as the main cause of the risk
AI
Timing
The stage in the AI lifecycle at which the risk is presented as occurring
Post-deployment
Intent
Whether the risk is presented as occurring as an expected or unexpected outcome from pursuing a goal
Unintentional
Incident Reports
Reports Timeline
For most of those who travel by road, using GPS (Global Positioning System) technology to reach their destinations safely is an obvious choice. However, for three - including two brothers - in Uttar Pradesh, it led them to a tragic end.
The…
Can a navigation app be held responsible if a user gets into an accident?
That is the question being asked in India after three men died when their car veered off an unfinished bridge and fell on to a riverbed in the northern state of Uttar…
Variants
A "variant" is an AI incident similar to a known case—it has the same causes, harms, and AI system. Instead of listing it separately, we group it under the first reported incident. Unlike other incidents, variants do not need to have been reported outside the AIID. Learn more from the research paper.
Seen something similar?
Similar Incidents
Did our AI mess up? Flag the unrelated incidents
Similar Incidents
Did our AI mess up? Flag the unrelated incidents