Incident 985: Alleged Deepfake of Singapore Prime Minister Lee Hsien Loong Promotes Cryptocurrency Scam in Fake Interview

Description: A deepfake video falsely depicted Singapore’s Prime Minister Lee Hsien Loong promoting a cryptocurrency investment scam. Scammers used AI-generated voice cloning and manipulated footage from official events to create a convincing but fraudulent video interview with China Global Television Network. Lee warned the public and urged reporting through the ScamShield Bot.

Editor Notes: Two significant AI incidents involving Lee Hsien Loong occurred several months apart from each other. This incident pertains to the December 2023 one. The other one, Incident 986, pertains to a June 2024 incident. This incident ID is retroactive; Lee was Prime Minister during the time of the incident, but the incident ID was created during his time as Senior Minister. See also Incident 988 for information pertaining to disinformation-related deepfakes of Lee that emerged in late June 2024.

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Alleged: Unknown voice cloning technology developer and Unknown deepfake technology developer developed an AI system deployed by Scammers impersonating Lee Hsien Loong , scammers and Fraudsters, which harmed Lee Hsien Loong and General public of Singapore.

Alleged implicated AI systems: Unknown voice cloning technology and Unknown deepfake apps

Incident Stats

Incident ID

985

Report Count

Incident Date

2023-12-29

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Incident Reports

Reports Timeline

PM Lee warns against responding to deepfake videos of him promoting investment scams

straitstimes.com

straitstimes.com · 2023

SINGAPORE – Singaporeans must remain vigilant and learn to protect themselves and loved ones against deepfake scams, said Prime Minister Lee Hsien Loong – who is the latest target to be depicted promoting investment products.

In a Facebook …

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.