Campaign Featuring Purported AI-Generated Audio Attributed to Omar al-Bashir Spreads During Sudanese Conflict
August 20, 2023
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Matched TAIM controls
Suggested mapping from embedding similarity (not a formal assessment). Browse all TAIM controls
- MAP 1.6 — similarity 0.587, rank 1. TAIM detail and related incidents →
- MAP 2.2 — similarity 0.578, rank 2. TAIM detail and related incidents →
- MAP 1.3 — similarity 0.573, rank 3. TAIM detail and related incidents →
- Alleged deployer
- the-voice-of-sudan
- Alleged developer
- unknown-voice-cloning-technology-developers, unknown-deepfake-technology-developers
- Alleged harmed parties
- omar-al-bashir, general-public-of-sudan, general-public, epistemic-integrity, truth, national-security-and-intelligence-stakeholders
Source
Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/1087
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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