Japan's Liberal Democratic Party approved a plan Thursday to mandate labels on AI-generated content shared on social media during election periods [1].

The move addresses the growing threat of deepfakes and synthetic media, which lawmakers said could undermine the fairness and integrity of democratic elections [1, 5].

Eideke Suzuki, the LDP General Affairs Department head, said the party aims to submit the bill next week [1]. The legislative framework is the result of coordination between the LDP and six other political parties [4].

Under the proposed amendments to the Public Offices Election Act, anyone posting AI-generated or modified images and videos must clearly disclose that the content was created by artificial intelligence [1]. This transparency requirement is designed to prevent voters from being misled by realistic but fake media during critical campaign windows [5].

The bill also places significant obligations on social media platforms. SNS operators will be required to implement measures to mitigate the negative effects of disinformation [2]. Furthermore, these companies must publish a report on the status of these mitigation efforts once a year [2].

According to the legislative outline, these operator obligations are scheduled to take effect starting in March 2027 [6].

"We aim to submit the bill next week," Suzuki said [1].

A joint statement from the ruling and opposition parties said the policy aims to codify measures to prevent the spread of fake information during elections, including the mandatory disclosure of AI creations [3].

“Japan's Liberal Democratic Party approved a plan... to mandate labels on AI-generated content shared on social media during election periods.”

This legislation represents a shift from voluntary industry guidelines to statutory requirements for tech platforms in Japan. By mandating annual transparency reports and AI disclosures, the Japanese government is attempting to create a legal deterrent against the use of generative AI for political manipulation. The March 2027 implementation date suggests a transition period for platforms to build the necessary detection and reporting infrastructure.