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Incident 1355: Reported AI Impersonations of Pastors Used in Online Donation and Influence Scams

Description: Religious communities in the U.S. and abroad reported the circulation of purportedly AI-generated videos and cloned audio impersonating pastors and church leaders, including Father Mike Schmitz, to solicit donations and spread incendiary sermons. The impersonations reportedly leveraged synthetic voice and likeness tools and were distributed via platforms such as TikTok, Facebook, and messaging apps. Some content remained unlabeled as AI-generated and was treated as authentic by viewers.

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Entities

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Alleged: Deepfake technology developers and Synthetic audio generation technology developers developed an AI system deployed by Scammers and Scammers impersonating religious figures, which harmed Mike Schmitz , Religious leaders , Religious institutions , Religious communities , Churches , Congregants , General public and Epistemic integrity.
Alleged implicated AI systems: TikTok , Facebook , Instagram , Social media platforms , Messaging apps , Deepfake technology and Synthetic audio generation technology

Incident Stats

Incident ID
1355
Report Count
1
Incident Date
2026-01-05
Editors
Daniel Atherton
Applied Taxonomies
MIT

MIT Taxonomy Classifications

Machine-Classified
Taxonomy Details

Risk Subdomain

A further 23 subdomains create an accessible and understandable classification of hazards and harms associated with AI
 

4.3. Fraud, scams, and targeted manipulation

Risk Domain

The Domain Taxonomy of AI Risks classifies risks into seven AI risk domains: (1) Discrimination & toxicity, (2) Privacy & security, (3) Misinformation, (4) Malicious actors & misuse, (5) Human-computer interaction, (6) Socioeconomic & environmental harms, and (7) AI system safety, failures & limitations.
 
  1. Malicious Actors & Misuse

Entity

Which, if any, entity is presented as the main cause of the risk
 

Human

Timing

The stage in the AI lifecycle at which the risk is presented as occurring
 

Post-deployment

Intent

Whether the risk is presented as occurring as an expected or unexpected outcome from pursuing a goal
 

Intentional

Incident Reports

Reports Timeline

+1
AI Deepfakes Are Impersonating Pastors to Try to Scam Their Congregations
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AI Deepfakes Are Impersonating Pastors to Try to Scam Their Congregations

AI Deepfakes Are Impersonating Pastors to Try to Scam Their Congregations

wired.com

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AI Deepfakes Are Impersonating Pastors to Try to Scam Their Congregations
wired.com · 2026

Father Mike Schmitz, a Catholic priest and podcaster, addressed his congregation of more than 1.2 million YouTube subscribers in November with an unusual kind of homily. You couldn't always trust the words coming out of his mouth, Schmitz s…

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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