Description: A TikTok account allegedly using the badge and branding of Grainville School in Jersey (Channel Islands) reportedly uploaded five "deeply inappropriate," purportedly AI-generated deepfake videos, including material featuring staff. The Education and Lifelong Learning Minister said the incident was reported to TikTok and the States of Jersey Police and urged the public not to view or share the content. The account was reportedly later removed.
Entities
View all entitiesAlleged: Deepfake technology developers and Synthetic audio generation technology developers developed an AI system deployed by Unknown TikTok users and Malicious actors, which harmed Grainville School (Jersey) , Grainville School (Jersey) staff , Teachers and Epistemic integrity.
Alleged implicated AI systems: TikTok , 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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A social media account which posted "deeply inappropriate deepfake content" which "targeted school staff" is being investigated by police.
A TikTok account which used Grainville School's badge and branding uploaded five videos - with some i…
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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