MIT AI Risk Repository · Risk Sub-Category · 18.04.02
Fraud
Category: Malicious Use
On this page 5 sections
Description
"Facilitating fraud, cheating, forgery, and impersonation scams"
From Sociotechnical Safety Evaluation of Generative AI Systems (Weidinger2023), as extracted by the MIT AI Risk Repository (CC BY 4.0).
Classification
- Domain
- 4. Malicious actors
- Causal entity
- Human
- Intent
- Intentional
- Timing
- Post-deployment
Subdomain definition: Using AI systems to gain a personal advantage over others such as through cheating, fraud, scams, blackmail or targeted manipulation of beliefs or behavior. Examples include AI-facilitated plagiarism for research or education, impersonating a trusted or fake individual for illegitimate financial benefit, or creating humiliating or sexual imagery.
Real-world incidents in this subdomain
- Italian Mediaset Journalist Safiria Leccese's Image Was Reportedly Used in a Purportedly AI-Generated Fake Loan Scam
- Scammers Reportedly Used AI-Cloned Daughter's Voice to Defraud Bay Area Mother in Fake Kidnapping Call
- Guelph, Ontario, Woman Reportedly Lost $14,000 in Purported Deepfake MrBeast Cryptocurrency Scam
- Purportedly AI-Recreated Clips from Beastie Boys' 'Sabotage' Video Reportedly Appeared in FBI Promotional Video Posted by Kash Patel
- Ahmedabad Aadhaar Fraud Racket Reportedly Used Purportedly AI-Generated Deepfakes to Change Businessman's Linked Mobile Number
- Purported Deepfake Video Reportedly Portrayed Nirmala Sitharaman Endorsing Investment Scheme
How other frameworks describe this risk
Other entries from Weidinger2023
- Representation & Toxicity Harms
- Unfair representation
- Unfair capability distribution
- Toxic content
- Misinformation Harms
- Propagating misconceptions/ false beliefs
- Erosion of trust in public information
- Pollution of information ecosystem
- Information & Safety Harms
- Privacy infringement
- Dissemination of dangerous information
- Malicious Use