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

Incident Stats

Incident ID
840
Report Count
1
Incident Date
2024-09-18
Editors
Daniel Atherton
Applied Taxonomies
MIT

MIT Taxonomy Classifications

Machine-Classified
Taxonomy Details

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

Incident Reports

Reports Timeline

Incident OccurrenceMoscow Roils a Country on the Edge of Europe and Russia
Moscow Roils a Country on the Edge of Europe and Russia

Moscow Roils a Country on the Edge of Europe and Russia

nytimes.com

Moscow Roils a Country on the Edge of Europe and Russia
nytimes.com · 2024

Moldova's police chief, appointed by a government committed to joining the European Union and leaving Russia's orbit, was alarmed to find his country's capital suddenly plastered with posters bearing a blunt message: "No EU."

The posters --…

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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