Description: A purportedly AI-generated fictional story falsely claimed that a Boy Scout named Eric Langford disappeared in New York in 1989 and reappeared in 2001 after being kidnapped. The reported hoax originated on the UNKNOWN Files YouTube channel and was repackaged into viral TikTok videos and AI-written blog posts promoted on Facebook, misleading millions of viewers and searchers about a fabricated missing-person case.
Entities
View all entitiesAlleged: Image generator developers , Deepfake technology developers and Generative AI developers developed an AI system deployed by UNKNOWN Files, which harmed Epistemic integrity , Social media users , YouTube users , TikTok users and Facebook users.
Alleged implicated AI systems: Unknown generative AI systems , Image generation technology and Deepfake technology
Incident Stats
Risk Subdomain
A further 23 subdomains create an accessible and understandable classification of hazards and harms associated with AI
3.1. False or misleading information
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.
- Misinformation
Entity
Which, if any, entity is presented as the main cause of the risk
AI
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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Claim:
A 14-year-old Boy Scout named Eric Langford disappeared in New York's Adirondack Mountains in 1989, was declared dead and miraculously reappeared in 2001.
Rating:[
False
About this rating
](https://www.snopes.com/fact-check/rating/f…
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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