Description: Russian operatives used AI to create a fake video and voice of "Olesya," a supposed troll in Kyiv, falsely claiming involvement in U.S. elections to support President Biden. U.S. intelligence confirmed the voice was AI-generated. This disinformation campaign aimed to mislead voters, erode trust in democratic institutions, and influence the 2024 election. The incident involved the group Storm-1516, individuals linked to Valery Korovin, and potential veterans of the Internet Research Agency.
Entités
Voir toutes les entitésPrésumé : Un système d'IA développé et mis en œuvre par Valery Korovin , Storm-1516 , Internet Research Agency veterans et Center for Geopolitical Expertise, a endommagé Ukrainian general public , Joe Biden , General public , Democratic institutions , Biden presidential campaign et American conservatives.
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
Rapports d'incidents
Chronologie du rapport
Last month, a video began circulating on social media purporting to tell the story of an internet troll farm in Kyiv targeting the American election.
Speaking in English with a Slavic accent, "Olesya" offers a first-person account of how sh…
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.
