Description: Ahmedabad Cyber Crime police reportedly arrested four people after businessman Amit Patel alleged that his Aadhaar-linked mobile number had been changed without consent. Police reportedly said the accused allegedly used purportedly AI-generated deepfake videos made from Patel's photo to bypass facial authentication, access DigiLocker/e-KYC services, open bank accounts, and apply for loans.
Entities
View all entitiesAlleged: Unique Identification Authority of India and Deepfake technology developers developed an AI system deployed by Scammers , Mohammad Kaif Iqbalbhai Patel , Kanubhai Bahadursinh Parmar , Deep Maheshbhai Gupta and Ashish Rajendrabhai Waland, which harmed Bonneville Foods Private Limited , Amit Patel , Aadhaar holders and Privacy.
Alleged implicated AI systems: Deepfake technology , True Credits , RKBansal , EarlySalary , DigiLocker , Aadhaar-linked e-KYC systems , Aadhaar facial authentication system and Aadhaar
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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In a significant breakthrough, the Cyber Cell of Crime Branch Ahmedabad has arrested four persons for allegedly orchestrating a sophisticated identity fraud racket in which they used deepfake technology and illegally accessed Aadhaar-linked…
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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