Incidente 412: Prueba de reconocimiento facial de la policía finlandesa para identificar a víctimas de abuso sexual considerada ilegal
Descripción: La Junta Nacional de Policía de Finlandia fue reprendida por el procesamiento ilegal de categorías especiales de datos personales en una prueba de reconocimiento facial para identificar posibles víctimas de abuso sexual infantil.
Entidades
Ver todas las entidadesAlleged: Clearview AI y Facial recognition system developers developed an AI system deployed by Finnish National Bureau of Investigation , Government of Finland , Law enforcement y Finnish National Police Board, which harmed Child sexual abuse victims , Minors , Privacy , Biometric data subjects y People whose images were uploaded to Clearview AI.
Sistemas de IA presuntamente implicados: Clearview AI facial recognition system , Clearview AI facial image database , Law enforcement facial recognition systems , Biometric data processing systems y Facial recognition systems
Clasificaciones de la Taxonomía CSETv1
Detalles de la TaxonomíaIncident 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
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.
- 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