AI-Enabled Fraud Schemes Reportedly Increasing Consumer Harm and Challenging Detection
June 22, 2024
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.
- Alleged deployer
- unknown-scammers
- Alleged developer
- openai, ai-tool-creators, unknown-deepfake-technology-developers, unknown-voice-cloning-technology-developers
- Alleged harmed parties
- bank-customers
Source
Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/735
Data source
Incident data is from the AI Incident Database (AIID).
When citing the database as a whole, please use:
McGregor, S. (2021) Preventing Repeated Real World AI Failures by Cataloging Incidents: The AI Incident Database. In Proceedings of the Thirty-Third Annual Conference on Innovative Applications of Artificial Intelligence (IAAI-21). Virtual Conference.
Pre-print on arXiv · Database snapshots & citation guide
We use weekly snapshots of the AIID for stable reference. For the official suggested citation of a specific incident, use the “Cite this incident” link on each incident page.