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.
Entities
View all entitiesAlleged: Edmodo developed and deployed an AI system, which harmed Children whose data was collected and used for advertising and Schools and teachers who were misinformed and burdened with COPPA compliance responsibilities without adequate disclosure.
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
The Federal Trade Commission has obtained an order against education technology provider Edmodo for collecting personal data from children without obtaining their parent’s consent and using that data for advertising, in violation of the Chi…
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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