AI-Enabled Fraud Schemes Reportedly Increasing Consumer Harm and Challenging Detection
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.
Actors
Alleged Deployers
- scammers
Alleged Developers
- openai
- ai-tool-creators
- deepfake-technology-developers
- synthetic-audio-generation-technology-developers
Harmed Parties
- bank-customers
Classification
Risk Domain
Malicious Actors & MisuseRisk Subdomain
4.3. Fraud, scams, and targeted manipulation
MIT Risk Profile
Source
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Research Papers on This Topic
How Johnny Can Persuade LLMs to Jailbreak Them: Rethinking Persuasion to Challenge AI Safety by Humanizing LLMs
AgentHarm: A Benchmark for Measuring Harmfulness of LLM Agents
Regulating ChatGPT and other Large Generative AI Models
Great, Now Write an Article About That: The Crescendo Multi-Turn LLM Jailbreak Attack