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Incident 988: Senior Minister of Singapore Lee Hsien Loong Allegedly Misrepresented in Two Deepfake Videos on Foreign Relations

Description: Two deepfake videos falsely depicted Senior Minister of Singapore Lee Hsien Loong commenting on US-China relations and the South China Sea. The videos misleadingly attributed views to him and the Singapore government. Posted on TikTok, the videos amassed over 190,000 views before being removed.
Editor Notes: This incident documents two reported deepfake videos that emerged on June 21st, 2024 and June 25th, 2024, respectively. On June 27th, 2024, Lee made a public announcement warning against them. Incidents 985 and 986 are also deepfake incidents involving Lee. Where this incident seems intended to spread disinformation, those two involved attempts at financial fraud.

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Alleged: Unknown deepfake technology developer and Unknown voice cloning technology developer developed an AI system deployed by Unknown actors impersonating Lee Hsien Loong, which harmed Lee Hsien Loong , Government of Singapore , Singapore-United States relations , Singapore-China relations and Diplomacy.
Alleged implicated AI systems: Unknown deepfake app and Unknown voice cloning technology

Incident Stats

Incident ID
988
Report Count
1
Incident Date
2024-06-21
Editors

Incident Reports

Reports Timeline

Incident OccurrenceSM Lee warns of 'malicious' deepfake videos of him commenting on foreign relations, leaders
SM Lee warns of 'malicious' deepfake videos of him commenting on foreign relations, leaders

SM Lee warns of 'malicious' deepfake videos of him commenting on foreign relations, leaders

todayonline.com

SM Lee warns of 'malicious' deepfake videos of him commenting on foreign relations, leaders
todayonline.com · 2024

SINGAPORE — Senior Minister Lee Hsien Loong on Thursday (June 27) warned people about deepfake videos of him commenting on international relations and foreign leaders.

"The motive of these deepfakes may not be commercial, but their maliciou…

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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