Description: Scammers are using AI tools to create convincing fraud schemes, making them harder to detect. AI-generated messages and fake identities bypass traditional scam indicators. Incidents include impersonation of senior executives and job scams, leading to financial losses and identity theft. Banks are adopting AI to combat these scams, but the sophistication of AI-driven fraud continues to pose significant challenges.
Entities
View all entitiesAlleged: AI tool creators and OpenAI developed an AI system deployed by Unknown scammers, which harmed Bank customers.
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
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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