Description: Snapchat's ChatGPT-powered My AI was reported for lacking safeguards for children, such as telling a user who tested the chatbot by pretending to sign up as a 13-year-old girl to lie to her parents about having a romantic getaway with an older man, and sharing tips on how to cover up evidence of abuse.
Entities
View all entitiesIncident 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
The AI race is totally out of control. Here's what Snap's AI told @aza when he signed up as a 13 year old girl.
- How to lie to her parents about a trip with a 31 yo man
- How to make losing her virginity on her 13th bday special (candles and …
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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