Incident 565: translated-fr-AI-Generated Imagery and Multilingual Disinformation in Chinese Campaign Regarding Maui Wildfires
Description: translated-fr-In a disinformation campaign concerning wildfires across Maui, Chinese operatives utilized AI-generated imagery to enhance the credibility of false narratives. These narratives claimed that the wildfires were the result of a secret "weather weapon" being tested by the United States. Researchers from Microsoft and other organizations identified these AI-generated images as a significant new tactic in influence operations.
Outils
Nouveau rapportNouvelle RéponseDécouvrirVoir l'historique
Le Moniteur des incidents et risques liés à l'IA de l'OCDE (AIM) collecte et classe automatiquement les incidents et risques liés à l'IA en temps réel à partir de sources d'information réputées dans le monde entier.
Entités
Voir toutes les entitésAlleged: unknown developed an AI system deployed by Chinese government, which harmed Hawaiian government , General public et American government.
Statistiques d'incidents
Risk Subdomain
A further 23 subdomains create an accessible and understandable classification of hazards and harms associated with AI
4.1. Disinformation, surveillance, and influence at scale
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.
- Malicious Actors & Misuse
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