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 412: Finland Police's Facial Recognition Trial to Identify Sexual Abuse Victims Deemed Illegal

Description: Finland's National Police Board was reprimanded for illegal processing of special categories of personal data in a facial recognition trial to identify potential victims of child sexual abuse.

Tools

New ReportNew ReportNew ResponseNew ResponseDiscoverDiscoverView HistoryView History

Entities

View all entities
Alleged: Clearview AI developed an AI system deployed by , which harmed Finland National Bureau of Investigation.

Incident Stats

Incident ID
412
Report Count
4
Incident Date
2020-01-15
Editors
Khoa Lam
Applied Taxonomies
CSETv1, MIT

CSETv1 Taxonomy Classifications

Taxonomy Details

Incident Number

The number of the incident in the AI Incident Database.
 

412

Special Interest Intangible Harm

An assessment of whether a special interest intangible harm occurred. This assessment does not consider the context of the intangible harm, if an AI was involved, or if there is characterizable class or subgroup of harmed entities. It is also not assessing if an intangible harm occurred. It is only asking if a special interest intangible harm occurred.
 

yes

Date of Incident Year

The year in which the incident occurred. If there are multiple harms or occurrences of the incident, list the earliest. If a precise date is unavailable, but the available sources provide a basis for estimating the year, estimate. Otherwise, leave blank. Enter in the format of YYYY
 

2021

Date of Incident Month

The month in which the incident occurred. If there are multiple harms or occurrences of the incident, list the earliest. If a precise date is unavailable, but the available sources provide a basis for estimating the month, estimate. Otherwise, leave blank. Enter in the format of MM
 

04

Date of Incident Day

The day on which the incident occurred. If a precise date is unavailable, leave blank. Enter in the format of DD
 

08

Estimated Date

“Yes” if the data was estimated. “No” otherwise.
 

No

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
 

2.1. Compromise of privacy by obtaining, leaking or correctly inferring sensitive information

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. Privacy & Security

Entity

Which, if any, entity is presented as the main cause of the risk
 

Human

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 OccurrenceTesting of facial recognition software by NBI reported to Data Protection OmbudsmanFinnish police denied, then admitted using controversial facial recognition appClearview AI Offered Free Trials To Police Around The WorldFinnish SA: Police reprimanded for illegal processing of personal data with facial recognition software
Testing of facial recognition software by NBI reported to Data Protection Ombudsman

Testing of facial recognition software by NBI reported to Data Protection Ombudsman

poliisi.fi

Finnish police denied, then admitted using controversial facial recognition app

Finnish police denied, then admitted using controversial facial recognition app

yle.fi

Clearview AI Offered Free Trials To Police Around The World

Clearview AI Offered Free Trials To Police Around The World

buzzfeednews.com

Finnish SA: Police reprimanded for illegal processing of personal data with facial recognition software

Finnish SA: Police reprimanded for illegal processing of personal data with facial recognition software

edpb.europa.eu

Testing of facial recognition software by NBI reported to Data Protection Ombudsman
poliisi.fi · 2021

The National Bureau of Investigation (NBI) has discovered within its activities a possible information security incident involving personal data and has made a report on the incident to the National Police Board. The alleged incident took p…

Finnish police denied, then admitted using controversial facial recognition app
yle.fi · 2021

Officers at Finland's National Bureau of Investigation (NBI) have used the controversial facial recognition app Clearview AI, even though its use was not widely known within the organisation, according to documents seen by Yle.

The matter w…

Clearview AI Offered Free Trials To Police Around The World
buzzfeednews.com · 2021

Law enforcement agencies and government organizations from 24 countries outside the United States used a controversial facial recognition technology called Clearview AI, according to internal company data reviewed by BuzzFeed News.

That dat…

Finnish SA: Police reprimanded for illegal processing of personal data with facial recognition software
edpb.europa.eu · 2021

Background information

  • Date of final decision: 20 September 2021
  • Cross-border case or national case: National case
  • Controller: National Police Board
  • Legal Reference: Art. 14 in the Act on the Processing of Personal Data in Criminal Matters…

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