Description: Scammers are reportedly using AI tools such as language models, voice cloning, and synthetic IDs to create more convincing frauds, leading to financial losses and identity theft. Banks have begun deploying AI-driven verification tools to counter these schemes, but experts warn that AI-enabled fraud continues to cause real-world harm and remains difficult to detect.
Entities
View all entitiesAlleged: OpenAI , AI tool creators , Unknown deepfake technology developers and Unknown voice cloning technology developers developed an AI system deployed by Unknown scammers, which harmed Bank customers.
Alleged implicated AI systems: Unknown deepfake technology and 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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Artificial intelligence is making scammers tougher to spot.
Gone are the poorly worded messages that easily tipped off authorities as well as the grammar police. The bad guys are now better writers and more convincing conversationalists, w…
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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