Deepfakes Allegedly Used in Aadhaar Fraud Case Involving AI-Generated Images

April 28, 2026

The Ahmedabad Cyber Crime police reportedly arrested four individuals following allegations by businessman Amit Patel, who claimed that his Aadhaar-linked mobile number had been unauthorizedly changed. The accused are said to have utilized deepfake videos allegedly created with AI from Patel's image to bypass facial authentication, gain access to DigiLocker/e-KYC services, open bank accounts, and apply for loans. Deepfakes continue to pose challenges in responsible AI governance, emphasizing the importance of trustworthy AI models and harm prevention strategies.

Contribute your insights on this incident by learning more through JOIN US, helping us map, measure, and manage such occurrences within the HISPI Project Cerebellum TAIM.
Alleged deployer
scammers, kanubhai-bahadursinh-parmar, ashish-rajendrabhai-waland, mohammad-kaif-iqbalbhai-patel, deep-maheshbhai-gupta
Alleged developer
unknown-deepfake-technology-developers, unique-identification-authority-of-india
Alleged harmed parties
amit-patel, bonneville-foods-private-limited, aadhaar-holders

AI governance case studies

For forensic AI governance failure analysis (TAIMScore™ case studies), browse Human Signal’s Failure Files™.

Source

Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/1472

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.