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Incident 895: Alleged Deepfake of New Zealand Endocrinologist Reportedly Promotes Misleading Diabetes Claim

Description: A video circulated on social media that appeared to feature University of Otago endocrinologist Sir Jim Mann allegedly promoting a hemp gummy product for diabetes patients and urging them to stop using metformin. The video was reportedly generated using AI and has been described as spreading manipulated visuals and speech presenting false medical advice.

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Alleged: Unknown deepfake technology developer developed an AI system deployed by scammers and Fraudsters, which harmed New Zealand general public , Jim Mann and Diabetes patients.
Alleged implicated AI system: Unknown deepfake app

Incident Stats

Incident ID
895
Report Count
2
Incident Date
2025-01-06
Editors
Daniel Atherton

Incident Reports

Reports Timeline

+1
Diabetes expert alarmed fake news scam uses AI image urging patients to abandon medication
Doctor Targeted by Deepfake Ad Scam
Diabetes expert alarmed fake news scam uses AI image urging patients to abandon medication

Diabetes expert alarmed fake news scam uses AI image urging patients to abandon medication

nzherald.co.nz

Doctor Targeted by Deepfake Ad Scam

Doctor Targeted by Deepfake Ad Scam

medpagetoday.com

Diabetes expert alarmed fake news scam uses AI image urging patients to abandon medication
nzherald.co.nz · 2025

A leading diabetes specialist is alarmed that a fake news video using his image that urges people to stop taking their medicine may lead to people becoming sick.

The University of Otago is concerned about a deepfake video and false story fe…

Doctor Targeted by Deepfake Ad Scam
medpagetoday.com · 2025

A well-known endocrinologist in New Zealand was recently the victim of a deepfake scam, according to reporting from the New Zealand Herald.

The likeness of Sir Jim Mann, DM, PhD, MA, of the University of Otago, was used in a deepfake news v…

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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