Description: An alleged AI-generated video circulated on TikTok in June 2025 depicting former Malaysian Inspector-General of Police Acryl Sani Abdullah Sani endorsing or receiving funds from an individual identified as "Datuk Abdul Ghani." Authorities reportedly confirmed the video was fake and manipulated using AI. Acryl Sani filed a police report denying the claims. Selangor police are investigating the case under fraud and communications laws.
Entities
View all entitiesAlleged: Deepfake technology developers and Image generation technology developers developed an AI system deployed by Misinformation spreaders , Information manipulation actors in Malaysia , Information manipulation actors , Disinformation actors targeting Royal Malaysia Police and Information manipulation actors targeting the Royal Malaysia Police, which harmed Tan Sri Acryl Sani Abdullah Sani , Royal Malaysia Police , National security and intelligence stakeholders , General public of Malaysia , General public and Epistemic integrity.
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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SHAH ALAM, June 22 — The police are investigating a viral video showing an individual resembling former inspector-general of police Tan Sri Acryl Sani Abdullah, allegedly linked to the receipt of financial aid from a person with the title ‘…
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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