Deepfake Interview: Alleged AI-generated Impersonation of Tokyo IT Executive Kenbun Yoshii

March 19, 2026

Recent reports reveal a potential deepfake incident involving an AI-altered video, allegedly used by a job applicant to impersonate Japanese IT executive Kenbun Yoshii during a remote hiring interview. The incident raises concerns about the misuse of publicly available images and career details. Investigations have pointed out visual and audio irregularities that suggest deepfake technology was employed. HISPI Project Cerebellum TAIM invites contributors—JOIN US—to learn more about responsible AI governance, incident mapping, and harm prevention in the age of advanced technologies.

Alleged deployer

unknown-fake-job-applicant(s)

Alleged developer

unknown-deepfake-technology-developers, unknown-voice-cloning-technology-developers

Alleged harmed parties

kenbun-yoshii, japanese-it-company-recruiter(s), unnamed-japanese-company, epistemic-integrity, national-security-and-intelligence-stakeholders

AI governance case studies

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

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.