Description: Meta's AI chatbot in Facebook Messenger falsely accused multiple state lawmakers of sexual harassment, fabricating incidents, investigations, and consequences that never occurred. These fabricated stories, discovered by City & State, sparked outrage among the affected lawmakers and raised concerns about the reliability of the chatbot. Meta acknowledged the errors and committed to ongoing improvements.
Entités
Voir toutes les entitésAlleged: Meta et Facebook users developed an AI system deployed by Meta, which harmed Meta , Facebook users , Kristen Gonzalez , Clyde Vanel et New York lawmakers.
Statistiques d'incidents
Risk Subdomain
A further 23 subdomains create an accessible and understandable classification of hazards and harms associated with AI
3.1. False or misleading information
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.
- Misinformation
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
Rapports d'incidents
Chronologie du rapport
If you're looking for information about state lawmakers, maybe don't trust Facebook's new Meta AI -- it may hallucinate about sexual harassment.
Facebook's chatbot, which launched in September as the latest in the trend of generative artif…
Meta's new chatbot invents sexual harassment allegations against US politicians. The allegations are fictitious, but the chatbot backs them up with a ton of details.
City & State obtained a screenshot of a Meta AI conversation in which the …
Variantes
Une "Variante" est un incident qui partage les mêmes facteurs de causalité, produit des dommages similaires et implique les mêmes systèmes intelligents qu'un incident d'IA connu. Plutôt que d'indexer les variantes comme des incidents entièrement distincts, nous listons les variations d'incidents sous le premier incident similaire soumis à la base de données. Contrairement aux autres types de soumission à la base de données des incidents, les variantes ne sont pas tenues d'avoir des rapports en preuve externes à la base de données des incidents. En savoir plus sur le document de recherche.
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