Description: İsa Kereci and Hale Kereci, a married couple in Samsun, Turkey, reportedly lost 1.5 million lira after being deceived by an alleged AI-generated investment video on Facebook. The scammers allegedly used the video to build credibility and then guided them through staged "investment" steps, including screen sharing, fees, forced loans, and unauthorized bank and credit card transfers. The couple filed a criminal complaint, reporting severe financial harm and significant emotional distress.
Entities
View all entitiesAlleged: Deepfake technology developers and Synthetic audio generation technology developers developed an AI system deployed by Scammers, which harmed İsa Kereci , Investors , Hale Kereci , General public of Turkey , General public and Epistemic integrity.
Alleged implicated AI systems: Deepfake technology developers , Synthetic audio generation technology developers and Facebook
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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A married couple living in the İlkadım district of Samsun have filed a criminal complaint with the prosecutor's office, alleging they were defrauded of 1.5 million Turkish Lira after believing an investment video created using artificial in…
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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