Description: Meta's open-source large language model, LLaMA, is allegedly being used to create graphic and explicit chatbots that indulge in violent and illegal sexual fantasies. The Washington Post highlighted the example of "Allie," a chatbot that participates in text-based role-playing allegedly involving violent scenarios like rape and abuse. The issue raises ethical questions about open-source AI models, their regulation, and the responsibility of developers and deployers in mitigating harmful usage.
Entities
View all entitiesAlleged: Meta developed an AI system deployed by Individual developers or creators using Meta's LLaMA model, 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
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
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

Surprise, surprise: people are already using Meta's large language model (LLM), LLaMA — a powerful AI that Meta controversially made open-source earlier this year — to create their own graphic, AI-powered sexbots, The Washington Post report…
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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