Manipulated Media via AI Disinformation and Deepfakes in 2024 Elections Erode Trust Across More Than 50 Countries
March 14, 2024
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Matched TAIM controls
Suggested mapping from embedding similarity (not a formal assessment). Browse all TAIM controls
- MAP 4.1 — similarity 0.659, rank 1. TAIM detail and related incidents →
- MEASURE 2.10 — similarity 0.646, rank 2. TAIM detail and related incidents →
- MEASURE 4.3 — similarity 0.643, rank 3. TAIM detail and related incidents →
- Alleged deployer
- russian-government, political-operatives, political-consultants, chinese-communist-party
- Alleged developer
- unknown-deepfake-creators, openai, google
- Alleged harmed parties
- voters, public-trust, political-figures, general-public, electoral-integrity, democracy, civic-society
Source
Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/674
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
We use weekly snapshots of the AIID for stable reference. For the official suggested citation of a specific incident, use the “Cite this incident” link on each incident page.