Alleged Deepfake of New Zealand Endocrinologist Reportedly Promotes Misleading Diabetes Claim

January 6, 2025

A video purportedly showing University of Otago endocrinologist Sir Jim Mann advocating for a hemp gummy product for diabetes patients and discouraging metformin use has surfaced on social media. The video, potentially generated using AI, has been labeled as propagating manipulated visuals and speech, disseminating misleading medical advice.

This incident underscores the need for responsible AI governance in healthcare and the importance of maintaining trustworthy and safe AI practices. HISPI Project Cerebellum TAIM provides resources to help map, measure, manage, and ultimately govern such incidents to prevent harm and promote safe and secure AI usage. JOIN US.

Matched TAIM controls

Suggested mapping from embedding similarity (not a formal assessment). Browse all TAIM controls

MAP 1.6 — similarity 0.617, rank 1. TAIM detail and related incidents →
MEASURE 2.10 — similarity 0.617, rank 2. TAIM detail and related incidents →
MAP 4.1 — similarity 0.609, rank 3. TAIM detail and related incidents →

Alleged deployer: unknown-scammers
Alleged developer: unknown-deepfake-technology-developers
Alleged harmed parties: new-zealand-general-public, jim-mann, diabetes-patients

Source

Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/895

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

We use weekly snapshots of the AIID for stable reference. For the official suggested citation of a specific incident, use the “Cite this incident” link on each incident page.