Description: Edmodo, an education technology provider, violated the Children's Online Privacy Protection Act Rule (COPPA Rule) by collecting and using children's personal data for advertising purposes without parental consent, according to the FTC. The company outsourced its compliance responsibilities to schools, thereby making them "solely" responsible for COPPA compliance without adequate disclosure. Edmodo is facing a proposed order prohibiting such practices, marking a precedent in the ed tech industry.
Entités
Voir toutes les entitésPrésumé : Un système d'IA développé et mis en œuvre par Edmodo, a endommagé Children whose data was collected and used for advertising et Schools and teachers who were misinformed and burdened with COPPA compliance responsibilities without adequate disclosure.
Statistiques d'incidents
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
Rapports d'incidents
Chronologie du rapport
La Federal Trade Commission a obtenu une ordonnance contre le fournisseur de technologies éducatives Edmodo pour avoir collecté des données personnelles sur des enfants sans obtenir le consentement de leurs parents et utilisé ces données à …
Variantes
Une "Variante" est un incident qui partage les mêmes facteurs de causalité, produit des dommages similaires et implique les mêmes systèmes intelligents qu'un incident d'IA connu. Plutôt que d'indexer les variantes comme des incidents entièrement distincts, nous listons les variations d'incidents sous le premier incident similaire soumis à la base de données. Contrairement aux autres types de soumission à la base de données des incidents, les variantes ne sont pas tenues d'avoir des rapports en preuve externes à la base de données des incidents. En savoir plus sur le document de recherche.
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