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Incident 1455: Purported Deepfake Videos Allegedly Impersonated Optometrist Joseph Allen to Promote Myopia-Reversal Eyedrops on TikTok

Description: Optometrist and online educator Joseph Allen ("Dr. Eye Health") reported that AI-generated videos using his likeness and voice were circulated on TikTok to promote eyedrops purportedly claiming to reverse myopia. The alleged scam misrepresented Allen's views and discouraged visits to eye-care professionals. They reportedly resurfaced after a takedown.

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Alleged: Unknown voice cloning technology developers and Unknown deepfake technology developers developed an AI system deployed by Unknown scammers, which harmed People seeking medical advice , Joseph Allen , Followers of Dr. Eye Health , Epistemic integrity and Dr. Eye Health.
Alleged implicated AI systems: Unknown voice cloning technology , Unknown deepfake technology , TikTok and Social media platforms

Incident Stats

Incident ID
1455
Report Count
2
Incident Date
2025-07-15
Editors
Daniel Atherton

Incident Reports

Reports Timeline

+1
WARNING! Don’t Fall for this Ai Deepfake SCAM!
Optometrist Fights Back After Deepfake Scam
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WARNING! Don’t Fall for this Ai Deepfake SCAM!

WARNING! Don’t Fall for this Ai Deepfake SCAM!

goldenhousetucson.com

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Optometrist Fights Back After Deepfake Scam

Optometrist Fights Back After Deepfake Scam

visionmonday.com

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WARNING! Don’t Fall for this Ai Deepfake SCAM!
goldenhousetucson.com · 2025

I'm warning everyone about a new scam using AI deepfakes of me to promote a vitamin supplement I've never endorsed. This is an example of ai identity theft and is a deepfake crime, so be aware of ai generated content promoting products.

The…

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Optometrist Fights Back After Deepfake Scam
visionmonday.com · 2026

Joseph Allen, OD is well known on the conference lecture circuit, on social media, and for his YouTube channel, Dr. Eye Health, where he educates followers about a variety of eye health topics. His notoriety had a downside, though, when he …

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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