Description: A Norton Cyber Safety Insights Report found that nearly one-third of New Zealand dating app users have been targeted by romance scams, with AI chatbots allegedly playing a growing role. The report, based on a January 2025 survey, indicates that 50% of dating app users believed they had interacted with AI-generated messages. Private investigators report cases where victims engage in long-term virtual relationships with fraudsters, often sending money.
Entities
View all entitiesAlleged: Unknown large language model developers and Unknown chatbot developers developed an AI system deployed by Romance scammers targeting New Zealanders and Unknown scammers, which harmed New Zealand dating app users , Romance scam victims and Financial fraud victims.
Alleged implicated AI systems: Unknown large language models , Unknown chatbots , Social media platforms and Dating apps
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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A private investigator says young adults conditioned to life online are increasingly clueless about catfishing and other love and sex scams.
Some grifters are now using artificial intelligence to do their online sweet-talking, and a new Nor…
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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