HISPI Project Cerebellum HISPI PROJECT CEREBELLUM

Sustained AI-Driven Russian Disinformation Campaigns Doppelgänger, Storm-1516, and Matryoshka Reportedly Disrupting German Federal Elections

December 6, 2024

As Germany's February 23, 2025 federal election approached, the reported activities of Russian AI-driven disinformation campaigns, namely Doppelgänger, Storm-1516, and Matryoshka (Operation Overload), have raised concerns. These campaigns are suspected to use AI-generated deepfake videos and fake news sites to disseminate false information about German politicians and public figures, amplified by AI-powered bots across social media platforms.

Research indicates that these campaigns may have been aimed at undermining trust in Germany's democratic process. The German domestic intelligence agency (BfV) described the scale of these activities as unprecedented, highlighting the need for trustworthy and safe AI governance.

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This incident also serves as an example of how the HISPI Project Cerebellum TAIM (Govern, Map) can be instrumental in understanding and addressing such challenges.

Matched TAIM controls

Suggested mapping from embedding similarity (not a formal assessment). Browse all TAIM controls

Alleged deployer
storm-1679, storm-1516, russian-government, operation-overload, matryoshka, john-mark-dougan, doppelganger
Alleged developer
unknown-entities-related-to-doppelganger, unknown-deepfake-technology-developers
Alleged harmed parties
unnamed-british-police-officer, unnamed-american-university-presidents, robert-habeck, olaf-scholz, natalie-finch, german-voters, german-politicians, german-federal-election-integrity, general-public-of-germany, friedrich-merz, electoral-integrity, democracy, academics-targeted-by-storm-1679, academics-targeted-by-operation-overload, academics-targeted-by-matryoshka

Source

Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/929

Data source

Incident data is from the AI Incident Database (AIID).

When citing the database as a whole, please use:

McGregor, S. (2021) Preventing Repeated Real World AI Failures by Cataloging Incidents: The AI Incident Database. In Proceedings of the Thirty-Third Annual Conference on Innovative Applications of Artificial Intelligence (IAAI-21). Virtual Conference.

Pre-print on arXiv · Database snapshots & citation guide

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