Description: Tests by The Wall Street Journal and a researcher reportedly revealed that Instagram's AI-driven Reels algorithm recommends sexually suggestive content to accounts listed as 13 years old. Despite Meta's commitment to restrict such content for minors, explicit videos were served within minutes of account creation, according to the findings.
Entities
View all entitiesAlleged: Meta Platforms and Instagram developed and deployed an AI system, which harmed minors , Children , Instagram users and General public.
Incident Stats
Risk Subdomain
A further 23 subdomains create an accessible and understandable classification of hazards and harms associated with AI
1.2. Exposure to toxic content
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.
- Discrimination and Toxicity
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
Incident Reports
Reports Timeline
Instagram regularly recommends sexual videos to accounts for teenagers that appear interested in racy content, and does so within minutes of when they first log in, according to tests by The Wall Street Journal and an academic researcher.
T…
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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