Incidente 758: translated-es-Teen's Overdose Reportedly Linked to Meta's AI Systems Failing to Block Ads for Illegal Drugs
Descripción: translated-es-Meta's AI moderation systems reportedly failed to block ads for illegal drugs on Facebook and Instagram, allowing users to access dangerous substances. The system's failure is linked to the overdose death of Elijah Ott, a 15-year-old boy who sought drugs through Instagram.
Entidades
Ver todas las entidadesAlleged: Meta Platforms developed an AI system deployed by Meta Platforms , Instagram y Facebook, which harmed Instagram users , Facebook users y Elijah Ott.
Estadísticas de incidentes
Risk Subdomain
A further 23 subdomains create an accessible and understandable classification of hazards and harms associated with AI
7.3. Lack of capability or robustness
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.
- AI system safety, failures, and limitations
Entity
Which, if any, entity is presented as the main cause of the risk
AI
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
Informes del Incidente
Cronología de Informes
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translated-es-Meta Platforms is running ads on Facebook and Instagram that steer users to online marketplaces for illegal drugs, months after The Wall Street Journal first reported that the social-media giant was facing a federal investigat…
Variantes
Una "Variante" es un incidente de IA similar a un caso conocido—tiene los mismos causantes, daños y sistema de IA. En lugar de enumerarlo por separado, lo agrupamos bajo el primer incidente informado. A diferencia de otros incidentes, las variantes no necesitan haber sido informadas fuera de la AIID. Obtenga más información del trabajo de investigación.
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