Skip to Content
logologo
AI Incident Database
Open TwitterOpen RSS FeedOpen FacebookOpen LinkedInOpen GitHub
Open Menu
Discover
Submit
  • Welcome to the AIID
  • Discover Incidents
  • Spatial View
  • Table View
  • List view
  • Entities
  • Taxonomies
  • Submit Incident Reports
  • Submission Leaderboard
  • Blog
  • AI News Digest
  • Risk Checklists
  • Random Incident
  • Sign Up
Collapse
Discover
Submit
  • Welcome to the AIID
  • Discover Incidents
  • Spatial View
  • Table View
  • List view
  • Entities
  • Taxonomies
  • Submit Incident Reports
  • Submission Leaderboard
  • Blog
  • AI News Digest
  • Risk Checklists
  • Random Incident
  • Sign Up
Collapse

Incident 857: Navigation App Allegedly Directs Car Over Damaged Bridge in Uttar Pradesh, Resulting in Three Deaths

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A car reportedly using Google Maps for navigation was misled onto a collapsed bridge in Uttar Pradesh, India, due to outdated GPS data.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 ReportNew ResponseNew ResponseDiscoverDiscoverView HistoryView History

Entities

View all entities
Alleged: 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

Incident ID
857
Report Count
2
Incident Date
2024-11-25
Editors
Daniel Atherton
Applied Taxonomies
MIT

MIT Taxonomy Classifications

Machine-Classified
Taxonomy Details

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.
 
  1. 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

+1
Misled By Google Maps, Car Falls Into River From Bridge, 3 Dead In UP
Bareilly bridge accident: Google Maps faces questions over India car plunge crash
Misled By Google Maps, Car Falls Into River From Bridge, 3 Dead In UP

Misled By Google Maps, Car Falls Into River From Bridge, 3 Dead In UP

ndtv.com

Bareilly bridge accident: Google Maps faces questions over India car plunge crash

Bareilly bridge accident: Google Maps faces questions over India car plunge crash

bbc.com

Misled By Google Maps, Car Falls Into River From Bridge, 3 Dead In UP
ndtv.com · 2024

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…

Bareilly bridge accident: Google Maps faces questions over India car plunge crash
bbc.com · 2024

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 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.

Similar Incidents

By textual similarity

Did our AI mess up? Flag the unrelated incidents

Google admits its self driving car got it wrong: Bus crash was caused by software

Google admits its self driving car got it wrong: Bus crash was caused by software

Sep 2016 · 28 reports
A Collection of Tesla Autopilot-Involved Crashes

A Collection of Tesla Autopilot-Involved Crashes

Jun 2016 · 22 reports
Worker killed by robot in welding accident at car parts factory in India

Worker killed by robot in welding accident at car parts factory in India

Jul 2015 · 12 reports
Previous IncidentNext Incident

Similar Incidents

By textual similarity

Did our AI mess up? Flag the unrelated incidents

Google admits its self driving car got it wrong: Bus crash was caused by software

Google admits its self driving car got it wrong: Bus crash was caused by software

Sep 2016 · 28 reports
A Collection of Tesla Autopilot-Involved Crashes

A Collection of Tesla Autopilot-Involved Crashes

Jun 2016 · 22 reports
Worker killed by robot in welding accident at car parts factory in India

Worker killed by robot in welding accident at car parts factory in India

Jul 2015 · 12 reports

Research

  • Defining an “AI Incident”
  • Defining an “AI Incident Response”
  • Database Roadmap
  • Related Work
  • Download Complete Database

Project and Community

  • About
  • Contact and Follow
  • Apps and Summaries
  • Editor’s Guide

Incidents

  • All Incidents in List Form
  • Flagged Incidents
  • Submission Queue
  • Classifications View
  • Taxonomies

2024 - AI Incident Database

  • Terms of use
  • Privacy Policy
  • Open twitterOpen githubOpen rssOpen facebookOpen linkedin
  • ecd56df