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AII-1001-02913
Under investigationA regulator, court or police has opened a formal inquiry and reached no finding yet.

AI-Generated Deepfake of Japanese Defense Minister Used in Impersonation Scam

Japanese Defense Minister Shinjiro Koizumi warned of an AI-generated deepfake impersonation scam in which callers claiming to be his secretaries initiated video calls showing deepfake video and audio of him with disjointed responses. Koizumi stated the scheme was sophisticated and said police would investigate, warning of potential election misinformation risks during the February 2026 Lower House election.

29 January 2026 ยท Japan Police ยท Fraud, scams and manipulation
29 January 2026
AII-1001-029132 sources โ†“
Quick facts
Category
Fraud, scams and manipulation
Country
Japan
Source
nikkansports.com
Date
29 January 2026
Drafted by
Raidu Incident Detection

What happened

Between January 26-29, 2026, multiple people contacted Defense Minister Shinjiro Koizumi's office reporting suspicious phone calls from individuals impersonating his secretaries. In some cases, callers claiming to be the minister's secretaries initiated video calls via WeChat with deepfake video and audio of the minister that exhibited disjointed responses, apparently generated using AI.

Reported impact

Koizumi stated the scheme was sophisticated and malicious. He warned that the impersonations could spread election misinformation during the Lower House election held on February 8, 2026, in which he was a candidate in Kanagawa's 11th district.

Index analysis

While deepfake content of Koizumi has existed online as memes and parody videos, this incident represents a new tactic combining synthetic media with social engineering and impersonation for potential fraud or disinformation purposes.

Governance controls

Koizumi advised recipients of suspicious calls not to respond and to report them to his office. He stated he would consult with police and take strict action against the malicious behavior.

Classification

Category
Fraud, scams and manipulation
Industry
Digital security
Country
Japan
Harm status
Potential harm
Intent
Intentional
Timing
Unknown
Harm types
Reputational, Public interest
Harmed
General public
Failure modes
Deepfake video, Voice clone, Manipulation or dark pattern
Consequences
Police investigation
AI systems
AI deepfake generator (unspecified)

Sources and evidence

This record was researched and written by the Index, based on the following original reporting.

nikkansports.com
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29 January 2026
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30 January 2026