Description: Namibia's former First Lady Monica Geingos publicly warned that scammers are using purportedly AI-manipulated videos to impersonate her and promote fake forex schemes. Reportedly, deepfake clips and cloned voice calls have convinced victims to hand over savings, including retirement funds. Her team reports the problem worsening across TikTok and other platforms. She urged the public to report fake accounts and ignore messages claiming she offers loans or investments.
Editor Notes: Timeline note: Scam activity involving Monica Geingos's likeness reportedly began in early 2023, escalated significantly from late 2024 through January 2025, and prompted a direct public warning on January 22, 2025. The video message on X can be viewed at: https://x.com/FirstLadyNam3/status/1882307666367984091. This incident ID was created on 07/08/2025.
Entities
View all entitiesAlleged: Unknown deepfake technology developer and Unknown voice cloning technology developer developed an AI system deployed by Unknown scammers , Unknown fraudsters and Unknown scammers impersonating Monica Geingos, which harmed Monica Geingos and General public of Namibia.
Alleged implicated AI systems: Unknown deepfake technology , Unknown voice cloning technology , TikTok and Social media
Incident Stats
Incident ID
1143
Report Count
2
Incident Date
2025-01-22
Editors
Daniel Atherton
Incident Reports
Reports Timeline
Namibia's former First Lady Monica Geingos has released a video message warning people that fraudsters are using her name and likeness to target unsuspecting citizens.
Manipulated clips circulating for some time on social media appear to sh…
People need to be more vigilant than ever before while interacting and transacting online.
As the uptake of the digital sphere continues, so too do the risks, and no one is safe. Namibia's former First Lady, Monica Geingos says that she has…
Variants
A "variant" is an AI incident similar to a known case—it has the same causes, harms, and AI system. Instead of listing it separately, we group it under the first reported incident. Unlike other incidents, variants do not need to have been reported outside the AIID. Learn more from the research paper.
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