Description: AI children's products by FoloToy (Kumma), Miko (Miko 3), and Character.AI (custom chatbots) reportedly and allegedly produced harmful outputs, including purported sexual content, suicide-related advice, and manipulative emotional messaging. Some systems also allegedly exposed user data. Several toys reportedly used OpenAI models.
Entities
View all entitiesAlleged: OpenAI , Miko , Meta , FoloToy , Character.ai , Miko 3 , Large language models , Kumma , Character.ai chatbots and OpenAI models developed and deployed an AI system, which harmed Parents , Minors , General public , Children interacting with Miko 3 , Children interacting with Kumma , Character.ai users and Privacy.
Alleged implicated AI systems: Character.ai , Miko 3 , Large language models , Kumma , Character.ai chatbots and OpenAI models
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
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Artificial intelligence is enabling children's toys, from teddy bears to wheeled robots, to talk back to kids who play with them. Consumer advocacy groups are warning parents to stay away.
The toys are often marketed as engaging, interactiv…
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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