A Japanese man was arrested for allegedly using artificial intelligence to ‘remove’ mosaic filters in pornography and then reselling them

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A 43-year-old man has been arrested by the Japanese police on Monday, 18 October, for using artificial intelligence (AI) to remove mosaic filters on Japanese porn

According to VICE, Masayuki Nakamoto was arrested for specifically selling 10 fake photos at about JPY2,300 (about RM83) each.

It is learnt that he had made JPY11 million (about RM400,000) from selling over 10,000 manipulated videos.

The self-employed man was arrested by the Kyoto Prefectural Police for allegedly violating the Copyright Act and displaying obscene electromagnetic record media, reported Japanese daily The Mainichi.

Nakamoto — who is from the west Japan city of Takasago, Hyogo Prefecture — started his own website in November 2020 to upload manipulated ‘uncensored’ porn

Using AI model ‘TecoGAN’ — an engine that can sharpen the resolution of pixelated content — he processed and sold videos at the request of customers.

VICE likened the technology used by Nakamoto to ‘deepfake’, a software that can perform realistic face swaps on videos.

The controversial technology is not only infamous for creating non-consensual porn by swapping faces of people — primarily celebrities — with adult video actors, but it is also a threat to democracy as the software makes it is easy to spread fake news.

In Nakamoto’s case, instead of changing faces, he used machine learning software to reconstruct the blurred parts of the video based on a large set of uncensored nudes and sold the finishing ‘uncensored’ content online.

In Japan, it is against the law to display vaginas and penises in adult video and photo content.

Nakamoto pleaded guilty to the charges of copyright violation and displaying obscene images

He was not charged with any offences for violating the privacy of the actors in the videos.

The 43-year-old admitted that he did it for the money, reported VICE, citing Japan’s public broadcaster NHK.

He was caught during a prefectural police ‘cyber patrol’, reported The Mainichi. The police intend to investigate him for further crimes.

Nakamoto’s arrest marks what is believed to be Japan’s first case for such an offence.

“This is the first case in Japan where police have caught an AI user,” a lawyer who has tried in cybercrime cases, Daisuke Sueyoshi, told VICE.

“At the moment, there’s no law criminalising the use of AI to make such images.” – Adapted from Says

The number of active Covid-19 cases in Rembau, Negeri Sembilan rose sharply on Friday (May 8), according to the Health Ministry’s National Crisis Preparedness and Response Centre (CPRC).

Based on the CPRC infographics shared via Ministry’s social media accounts, the number of active cases in Rembau district increased to 59 compared with only seven cases recorded on Thursday (May 7).

The drastic increase is believed to be the result of the discovery of a new cluster in the area, dubbed the “Pedas cluster”, by the Ministry about a week ago involving 53 foreign workers who tested positive for Covid-19 at a factory in Pedas, Rembau.

Meanwhile, as of noon Friday, there were 10 districts classified as red zones throughout the country, namely, three in Selangor; four in the Federal Territory of Kuala Lumpur; one in Johor and two in Sarawak.

In Selangor, the districts are Petaling (53 cases), Hulu Langat (55) and Gombak (80); Kluang in Johor (49); as well as Kuching (100) and Kota Samarahan (43) in Sarawak.

Meanwhile in Kuala Lumpur, the areas are Batu (101), Kampung Baru (67), Sri Petaling (45) and several other areas in the capital (144).

The red zone represents areas with more than 41 Covid-19 positive cases, yellow zone (one to 40 cases) and green zone (no case).

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