Description: Two members of the Highline Public Schools community in Burien, a town in King County, Washington, were reportedly targeted in a deepfake kidnapping scam. Scammers used AI-generated voice cloning technology to convincingly mimic the voices of their family members. The scammers used the altered voices to falsely claim they had been kidnapped and demanding a ransom be paid.
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The OECD AI Incidents and Hazards Monitor (AIM) automatically collects and classifies AI-related incidents and hazards in real time from reputable news sources worldwide.
Entities
View all entitiesAlleged: Unknown deepfake technology developers and Unknown voice cloning technology developers developed an AI system deployed by Unknown scammers, which harmed Highline Public Schools and Families of Highline Public Schools.
Alleged implicated AI system: Unknown voice cloning 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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Two individuals in our Highline community have reported that they were targeted by kidnapping scams. We are sharing information to help our families and staff stay vigilant and safe.
Both incidents involved scammers falsely claiming they k…
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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