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 226: Waze Allegedly Clogged Streets and Directed Drivers to Make Unsafe Traffic Decisions

Description: For years, Waze has, in an attempt to cut travel times, allegedly caused more traffic and guided drivers to make unsafe and often un-permitted traffic decisions, which was described by a Los Angeles city council member as a threat to public safety.

Tools

New ReportNew ReportNew ResponseNew ResponseDiscoverDiscoverView HistoryView History

Entities

View all entities
Alleged: Waze developed and deployed an AI system, which harmed Sherman Oaks residents , Waze users and Los Angeles city government.

Incident Stats

Incident ID
226
Report Count
3
Incident Date
2015-04-01
Editors
Khoa Lam
Applied Taxonomies
GMF, 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

Incident OccurrenceSherman Oaks residents blame Waze navigation app for clogging streets+1
Why Some Cities Have Had Enough of Waze
Sherman Oaks residents blame Waze navigation app for clogging streets

Sherman Oaks residents blame Waze navigation app for clogging streets

dailynews.com

Why Some Cities Have Had Enough of Waze

Why Some Cities Have Had Enough of Waze

usnews.com

LA City Council Seeks Solutions to Waze Traffic on Side Streets

LA City Council Seeks Solutions to Waze Traffic on Side Streets

nbclosangeles.com

Sherman Oaks residents blame Waze navigation app for clogging streets
dailynews.com · 2017

Each week, Thomas and Diane Vicari head down the hill from their Sherman Oaks home to take their grandchildren to school.

So both were shocked to learn of city plans to block their street each day during rush hour to stop a horde of smartph…

Why Some Cities Have Had Enough of Waze
usnews.com · 2018

Thomas Nehren never knew what to expect when he was on the road in his hometown of Salt Lake City. Whether it was speed traps, accidents or road construction, he too often found himself on the wrong street at the wrong time, when a differen…

LA City Council Seeks Solutions to Waze Traffic on Side Streets
nbclosangeles.com · 2018

With mobile traffic applications such as Waze causing a dangerous flood of traffic to be funneled onto tiny Los Angeles side streets, the Los Angeles City Council is expected to vote on a proposal Tuesday that will develop ways to curb the …

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.
Previous IncidentNext Incident

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

2023 - AI Incident Database

  • Terms of use
  • Privacy Policy
  • Open twitterOpen githubOpen rssOpen facebookOpen linkedin
  • 30ebe76