Description: A Facebook page reportedly posted a video that purported to show Croatian immunologist Stipan Jonjić endorsing an anti-parasite product and recommending it over conventional treatment. The clip was reported to use AI-generated or manipulated media, and Jonjić denied involvement. A woman was reported to have purchased the product after seeing the ad.
Editor Notes: Timeline notes: This incident reportedly occurred on 08/27/2024. The incident ID was created on 04/19/2026.
Entities
View all entitiesAlleged: Deepfake technology developers and Synthetic audio generation technology developers developed an AI system deployed by Scammers and Sepenuhnya alami Facebook page, which harmed Stipan Jonjić , People seeking medical advice , General public of Croatia and Epistemic integrity.
Alleged implicated AI systems: Social media platforms , Facebook , Deepfake technology and Synthetic audio generation technology
Incident Stats
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.
- 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
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On the suspicious Facebook page Sepenuhnya alami on August 27, 2024, a video was shared in which the prominent Croatian immunologist, academician, head of the Department of Histology and Embryology and the Center for Proteomics of the Facul…
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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