Description: Clearview AI was fined $33.7 million by the Dutch data protection authority for allegedly creating an illegal facial recognition database by scraping billions of images from the Internet without consent. The company used AI to convert these images into biometric data and sold the service to law enforcement. This act was in violation of privacy laws and the GDPR.
Entities
View all entitiesAlleged: Clearview AI developed and deployed an AI system, which harmed General public.
Incident Stats
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
Intentional
Incident Reports
Reports Timeline
Controversial U.S. facial recognition company Clearview AI, reportedly embraced U.S. government and law enforcement agencies, has been fined more than $30 million by the Netherlands’ data protection watchdog on Tuesday for building “an ille…
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.
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