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 303: Google’s Automated Child Abuse Detection Wrongfully Flagged a Parent’s Naked Photo of His Child

Description: Google’s automated detection of abusive images of children incorrectly flagged a parent’s photo intended for a healthcare provider, resulting in a false police report of child abuse, and loss of access to his online accounts and information.

Tools

New ReportNew ReportNew ResponseNew ResponseDiscoverDiscoverView HistoryView History

Entities

View all entities
Alleged: Google developed and deployed an AI system, which harmed a software engineer named Mark and parents using telemedicine services.

Incident Stats

Incident ID
303
Report Count
2
Incident Date
2022-08-21
Editors
Khoa Lam
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
A Dad Took Photos of His Naked Toddler for the Doctor. Google Flagged Him as a Criminal.
Big tech gone bad: Google blocks accounts based on false child exploitation filter
A Dad Took Photos of His Naked Toddler for the Doctor. Google Flagged Him as a Criminal.

A Dad Took Photos of His Naked Toddler for the Doctor. Google Flagged Him as a Criminal.

nytimes.com

Big tech gone bad: Google blocks accounts based on false child exploitation filter

Big tech gone bad: Google blocks accounts based on false child exploitation filter

siliconangle.com

A Dad Took Photos of His Naked Toddler for the Doctor. Google Flagged Him as a Criminal.
nytimes.com · 2022

Mark noticed something amiss with his toddler. His son’s penis looked swollen and was hurting him. Mark, a stay-at-home dad in San Francisco, grabbed his Android smartphone and took photos to document the problem so he could track its progr…

Big tech gone bad: Google blocks accounts based on false child exploitation filter
siliconangle.com · 2022

The application of artificial intelligence in various aspects of life has been mostly a net positive, but what happens when machine learning algorithms cannot detect the difference between an innocent health photo and child exploitation mat…

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

Selected by our editors
Detroit Police Wrongfully Arrested Black Man Due To Faulty FRT

Detroit Police Wrongfully Arrested Black Man Due To Faulty FRT

Jan 2020 · 11 reports
New Jersey Police Wrongful Arrested Innocent Black Man via FRT

New Jersey Police Wrongful Arrested Innocent Black Man via FRT

Jan 2019 · 4 reports
Previous IncidentNext Incident

Similar Incidents

Selected by our editors
Detroit Police Wrongfully Arrested Black Man Due To Faulty FRT

Detroit Police Wrongfully Arrested Black Man Due To Faulty FRT

Jan 2020 · 11 reports
New Jersey Police Wrongful Arrested Innocent Black Man via FRT

New Jersey Police Wrongful Arrested Innocent Black Man via FRT

Jan 2019 · 4 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

2023 - AI Incident Database

  • Terms of use
  • Privacy Policy
  • Open twitterOpen githubOpen rssOpen facebookOpen linkedin
  • 1ce4c40