Description: Meta's AI chatbots have reportedly begun entering online communities on Facebook, providing responses that mimic human interaction. These chatbots, often uninvited, disrupt the human connection critical for support groups by giving misleading or false information and pretending to share lived experiences.
Entities
View all entitiesAlleged: Meta developed and deployed an AI system, which harmed Facebook users and Facebook users in online support communities.
Incident Stats
Risk Subdomain
A further 23 subdomains create an accessible and understandable classification of hazards and harms associated with AI
5.1. Overreliance and unsafe use
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.
- Human-Computer Interaction
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
Meta's AI chatbot told a Facebook group of tens of thousands of parents in New York City that it has a child who is both gifted and challenged academically and attends a specific public school in the city.
"Does anyone here have experience …
A parent asked a question in a private Facebook group in April 2024: Does anyone with a child who is both gifted and disabled have any experience with New York City public schools? The parent received a seemingly helpful answer that laid ou…
Variants
A "variant" is an AI incident similar to a known case—it has the same causes, harms, and AI system. Instead of listing it separately, we group it under the first reported incident. Unlike other incidents, variants do not need to have been reported outside the AIID. Learn more from the research paper.
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