Description: An Orrington, Maine public school teacher was the target of a purported AI‑generated deepfake video depicting their likeness, according to the AOS 47 superintendent. The manipulated content was reportedly shared and circulated by some students. The district confirmed the video had no basis in reality, reported the hosting account, and had the post removed, while affirming support for the teacher and warning about the harms of AI‑based impersonation.
Entities
View all entitiesAlleged: Unknown deepfake technology developers developed an AI system deployed by Unknown perpetrator(s) of deepfake harassment targeting AOS 47 teacher, which harmed Unnamed AOS 47 teacher , AOS 47 community and General public of Orrington, Maine.
Alleged implicated AI system: Unknown deepfake 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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WABI News Desk post-incident response
ORRINGTON, Maine (WABI) - An area school department is coming to the defense of a teacher who they say is featured in a video that's been circulated online because the video is fake and was created using artificial intelligence.
AOS 47 Supe…
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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