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

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.

Risk classification

• Primary risk domain: 4 Malicious actors
• Primary risk subdomain: 4.3 Fraud, scams, and targeted manipulation

According to boundary rule B1, because the scammers exploited Dr. Allen's public likeness and voice to deceive consumers for financial gain through product sales, this is classified under 4.3 rather than 2.1.

Additional risk subdomains

• 3.1 False or misleading information: The deepfakes generated and spread false health information, specifically promoting unverified eyedrops and falsely claiming the optometry profession is a scam.
• 1.2 Exposure to toxic content: The AI-generated content promoted potentially dangerous, unverified medical products to consumers, posing a health risk.

Causal factors

• Entity: Human
• Intent: Intentional
• Timing: Post-deployment

The risk and resulting harm were caused by malicious human actors intentionally deploying AI deepfake generation tools post-deployment to commit fraud.

EU AI Act risk tier

• Risk tier: 3 Limited Risk

Limited Risk: The incident involves AI-generated content such as deepfakes, which are subject to specific transparency and disclosure obligations under the EU AI Act.

AI system and alleged parties

• AI system: unspecified
• AI purpose: Deepfake Video Generation; Voice Generation
• Behaviour type: Tool
• Alleged developer: Unknown voice cloning technology developers, Unknown deepfake technology developers
• Alleged deployer: Unknown scammers
• Alleged harmed parties: People seeking medical advice, Joseph Allen, Followers of Dr. Eye Health, Epistemic integrity, Dr. Eye Health

Harm severity

Severity ratings are based on this scale.

Highest direct severity in any category: Minor. Severity is scored from Negligible to Catastrophic in each harm category, for harm the reports describe as caused directly or indirectly by the AI system.

• Physical: direct Negligible, indirect Negligible
• Infrastructure: direct Negligible, indirect Negligible
• Property: direct Negligible, indirect Negligible
• Financial: direct Negligible, indirect Negligible
• Environmental: direct Negligible, indirect Negligible
• Malicious content: direct Minor, indirect Negligible
• Differential treatment: direct Negligible, indirect Negligible
• Civil rights: direct Negligible, indirect Negligible
• Democracy: direct Negligible, indirect Negligible
• Privacy: direct Negligible, indirect Negligible
• Psychological: direct Negligible, indirect Negligible
• Epistemic: direct Minor, indirect Negligible
• Child sexual exploitation and abuse: direct Negligible, indirect Negligible

Malicious content

Reported: The report explicitly describes the creation and spread of malicious deepfake videos and AI 'slop' designed to scam users.

Directly caused: Scammers generated and distributed deepfake videos of Dr. Allen across social media platforms, including TikTok, to promote unverified medical products.

Inferred additional harm: Thousands of social media users were exposed to these malicious deepfake videos across multiple platforms before and after the initial account takedown.

Epistemic

Reported: The report explicitly describes health misinformation spread by the deepfakes, including telling users not to see eye care providers.

Directly caused: The deepfake videos spread false claims that the entire optometry profession is a scam and that the advertised drops could reverse myopia.

Inferred additional harm: The incident contributed to the erosion of public trust in medical professionals and the broader information ecosystem by flooding social media with deceptive health advice.

People affected

• Occurrences reported: 1
• People reportedly harmed: 1
• People reportedly exposed: 1

Potential causes

Management

• Inadequate Platform Moderation Policy: Social media platforms failed to prioritize medical deepfake prevention.

Technology

• Advanced Deepfake Generation: AI tools generated realistic videos of the doctor's face and voice.
• Algorithm-Driven Distribution: Social media engagement algorithms amplified low-effort AI slop videos.
• Flawed AI Video Detection: Platforms lacked automated detection to flag synthetic medical content.

Data Inputs

• Unprotected Public Video Data: Scammers used public YouTube videos to train voice and face models.

Human Factors

• Limited Consumer Media Literacy: Viewers struggled to identify subtle deepfake visual and audio anomalies.
• Trust in Authority Figures: Patients trusted the fake doctor's advice over professional care.

Process and Methods

• Slow Platform Takedown Process: It took weeks for TikTok to verify identity and remove the scam videos.
• Ineffective Deplatforming Rules: Scammers bypassed bans by creating new accounts in hours.

Regulatory Environment

• Lack of AI Identity Protections: No swift legal mechanism to stop unauthorized AI likeness cloning.

Information quality

• Classification confidence: High
• Reason for confidence: The reports provide clear, firsthand accounts from the victim, Dr. Joseph Allen, detailing the nature of the deepfakes, the platforms involved, the specific products promoted, and the operational challenges in getting the content removed. The facts align directly with the boundary rules for malicious scams using public likenesses.
• Ambiguities identified: The exact AI models or software used to generate the deepfakes are not identified, and the chemical composition of the advertised eyedrops remains unknown.
• Alternative interpretations: None. The incident is a clear-cut case of commercial deepfake fraud and identity impersonation.

An optometrist's likeness and voice were stolen using AI deepfakes to promote unverified eye drops. While this represents a serious case of commercial fraud, identity theft, and health misinformation, it has negligible to minor national security implications and is manageable under standard law enforcement and platform moderation procedures.

• Overall national security impact: Minor
• Scope: Multiple nations
• Primary target: No clear primary
• Other affected: Unknown
• Alleged perpetrator: Unknown

Threat characteristics

• Imminence: Long-term. The incident represents an ongoing, persistent commercial scam and identity theft issue rather than an immediate national security crisis.
• Autonomy: Human-controlled. The AI systems were used as direct tools by human scammers to generate specific video and voice content based on clear instructions.
• Novelty: Established threat. Using AI deepfakes for commercial scams, identity theft, and promoting fraudulent products is an established and frequent threat method.

Impact by dimension

• Physical security: Negligible. The incident involves commercial deepfakes promoting unverified health products. While there is potential for individual health issues, it does not threaten critical infrastructure, physical security systems, or national-scale public health systems.
• Information security: Minor. The incident represents commercial fraud and localized health misinformation rather than a state-sponsored information warfare operation or compromise of classified intelligence.
• Sovereignty: Negligible. This is a commercial scam targeting a private citizen and consumers, with no impact on state authority, electoral systems, or core government operations.
• Economic security: Minor. While the scam generated millions in fraudulent sales, it constitutes localized consumer fraud rather than a systemic threat to national economic stability, critical supply chains, or strategic technologies.
• Societal stability: Minor. The deepfakes exploit a medical professional's likeness to spread false health advice, contributing to localized public trust erosion, but do not threaten large-scale societal stability or cause systematic human rights abuses.