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Incident 840: AI-Generated Media Reportedly Used in Russian Disinformation Campaign in Moldova

Description: Russian-linked entities allegedly deployed AI-generated images and videos to spread disinformation aimed at swaying Moldova’s referendum on E.U. membership. The AI-enhanced media campaign included fabricated stories and doctored visuals, the purpose of which was reportedly designed to amplify fear and undermine pro-E.U. sentiment in the days leading up to the referendum.
Editor Notes: Reconstructing some of the timeline of events: (1) September 18, 2024: Microsoft’s Threat Analysis Center (MTAC) publicly acknowledges ongoing monitoring of Russian disinformation efforts in Moldova, mentioning that it has collaborated with the Moldovan government to defend against influence operations. Russia’s tactics reportedly include AI-generated media, cyberattacks, and inauthentic social media accounts aimed at amplifying pro-Kremlin narratives and undermining Moldova’s pro-E.U. sentiment. (2) October 1, 2024: A manipulated video surfaced online that is reported to have falsely depicted Dumitru Alaiba, Moldova's Minister of Economic Development and Digitalization, in compromising situations. Alaiba denounced the video as a "poor quality fake" and filed a police complaint to address the disinformation. (See Incident 841.) (3) October 7, 2024: Fake Ministry of Culture letters appeared, circulated by dubious social media accounts, falsely claiming Moldova would host an “LGBT festival” under E.U. influence. (4) October 17, 2024: Moldovan officials, with support from social media companies, reportedly began taking action against disinformation, with Facebook removing numerous fake accounts, groups, and pages. (5) October 17, 2024: U.S. Senator Benjamin Cardin urged Meta and Alphabet executives to better enforce anti-disinformation measures in Moldova. (6) October 20, 2024: Telegram suspended Ilan Shor’s “Stop EU” channel for violating local laws. (7) Around October 22, 2024: With the referendum nearing, Moldovan police continued monitoring and dismantling disinformation efforts while also citing Russian influence in a last-minute push against pro-E.U. messaging.

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Entités

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Alleged: Unknown AI developers developed an AI system deployed by Russia-backed influencers , Maria Zakharova , Ilan Shor et Government of Russia, which harmed Pro-EU Moldovans , Moldovan general public , Maia Sandu , Government of Moldova , Electoral integrity , Democracy et Dumitru Alaiba.

Statistiques d'incidents

ID
840
Nombre de rapports
1
Date de l'incident
2024-09-18
Editeurs
Daniel Atherton
Applied Taxonomies
MIT

Classifications de taxonomie MIT

Machine-Classified
Détails de la taxonomie

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.
 
  1. 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

Incident OccurrenceMoscou secoue un pays aux confins de l'Europe et de la Russie
Moscou secoue un pays aux confins de l'Europe et de la Russie

Moscou secoue un pays aux confins de l'Europe et de la Russie

nytimes.com

Moscou secoue un pays aux confins de l'Europe et de la Russie
nytimes.com · 2024
Traduit par IA

Le chef de la police moldave, nommé par un gouvernement déterminé à rejoindre l'Union européenne et à quitter l'orbite russe, a été alarmé de voir la capitale de son pays soudainement tapissée d'affiches portant un message sans équivoque : …

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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