Description: An alleged AI-generated phishing email targeted a resident of Gray, Maine, falsely claiming to be from the town’s planning department. The alleged email, bearing a fake signature and official-looking letterhead, requested $22,500 for a zoning board meeting. Town officials have reportedly warned residents of increasing risks posed by AI-enabled scams, emphasizing that the town does not accept electronic payments and urging vigilance against similar fraudulent emails.
Entities
View all entitiesAlleged: Unknown deepfake technology developers developed an AI system deployed by Unknown scammers, which harmed Town of Gray Maine officials , Steven Souchek , Residents of Gray Maine , General public and Doug Webster.
Alleged implicated AI systems: Unknown AI-generated phishing email tool and Town of Gray Maine email system
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
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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Town officials in Gray revealed during a Wednesday meeting of the Zoning Board of Appeals that an applicant to the board received a realistic looking AI-generated phishing email that was requesting thousands of dollars be wired to an addres…
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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