Description: New Zealand Inland Revenue warned that scammers used a purported AI-generated likeness of Commissioner Peter Mersi with alleged false Inland Revenue branding, as well as misleading social media ads, to promote an allegedly fake webinar on crypto tax changes. The campaign allegedly sought to trick people into disclosing personal information.
Entities
View all entitiesAlleged: Image generator developers , Deepfake technology developers and Generative AI developers developed an AI system deployed by Unknown advertisers and Scammers, which harmed Social media users in New Zealand , Peter Mersi , New Zealand taxpayers , New Zealand Inland Revenue , General public of New Zealand , General public and Epistemic integrity.
Alleged implicated AI systems: Social media platforms , 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
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
Loading...
Even the Commissioner of Inland Revenue cannot avoid being a target for scammers.
The tax department on Thursday warned that people needed to be wary of social media scams impersonating well-known New Zealanders, including commissioner Pete…
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.
Seen something similar?