Shulou(Shulou.com)11/24 Report--

In the eight years since defeating the Go champion, artificial intelligence has gradually assisted and even replaced many posts. This time, it seems to be stealing jobs from artists.

Recently, a #call AI helped me draw #triggered discussion. Participants only need to describe the images they want to see, and the AI can automatically model the generated images. However, as this activity ferments, there are questions on the Internet about "Will AI painting make painters unemployed?" "Is game art being 'killed' by AI? "Wait for the topic to surface.

There are questions about whether AI painting infringes, etc., and it has also begun to become the focus of copyright disputes over network content. People can't help thinking: AI painting, is it art creation or stealing art?

How does AI painting work? "Sunflower in the morning sun,""Electric donkey in the shape of king crab galloping on country road,""Evil braids boy in blue flame," these realistic and surreal descriptions are Weibo users "call AI help me" and send out descriptors. Some of these users have also received AI paintings provided by the event organizers.

"Caijing" found that behind the AI painting microblogging flash activity of "Call AI Help Me," his initiator was an AI painting organization named 6pen, which built its own computing environment and artist community based on Disco-diffusion AI painting tools released by Google Open Source. Users only need to register on their website and initiate an instruction to create a painting. By entering a simple text description, they can draw a painting close to the text description with AI in just a few minutes.

After writing descriptive words such as "tiger, red, dawn twilight" in "Finance," setting the painting style to CG rendering and limiting the size of the painting, two minutes later, a painting drawn by AI was obtained.

▲ In terms of painting ability, except for the redundant upper part of composition, the overall painting ability of AI has exceeded that of most people without professional artistic training.

▲ Composition redundancy In fact, after AI has overcome chess, speech recognition, text translation and other problems, AI generation of paintings is nothing new. "The ability of AI to paint has begun to appear many years ago. At present, many technology enterprises at home and abroad have launched a layout in this respect. "AI industry veteran practitioners Zhang Peng told the" financial understanding ".

According to Zhang Peng, as early as a few years ago, painters through Paintschainer to their own computer-drawn line drawings color, the effect has been able to catch up with some of the more simple manual color works. In addition, through GauGAN's artificial intelligence image generation scheme provided by Nvidia, the painter only needs to simply smear a few strokes and sketch roughly with different color blocks and lines, GauGAN can guess the painter's intention and actively draw a photo with high fidelity.

It is understood that GauGAN 2 uses 10 million images for training, artists can use it not only to generate realistic scenery, but also to generate artistic scenes, which has gone beyond many people's previous impression of computer illustration art.

This year, with the release of Google Disco Diffusion and its openness to developers, Disco Diffusion with painting ability has attracted attention and discussion from the outside world about AI painting. In fact, Disco Diffusion has very loose requirements for prompt words, which can be dealt with with simple words or even words translated by machines, and the pictures involved have a strong sense of art.

In China, at present, Baidu as the representative of the head technology Internet enterprises, has also developed its own AI mapping tool-Wenxin Yige. According to Baidu founder and CEO Li Yanhong, this capability is currently called AIGC by Baidu, and some pictures in Baidu App are already being automatically generated based on AIGC capability.

Create art or steal art? In March 2016, with AlphaGo defeating Li Shishi, the world champion of Go, AI won the attention of the outside world and ushered in the rapid development period of its industrialization. In fact, behind the rapid development of AI, there is an inseparable relationship with the development of graphics processing unit chips (GPU), deep learning and big data technologies.

Take AI drawing as an example. In fact, the most fundamental basic technology of AI drawing is the same as AlphaGo, which is good at Go. It allows the system to deeply learn human works. After absorbing a large amount of data and knowledge, it finally achieves the imitation of human behavior and even emotion. In the process of learning, how AI can ensure that the content it learns is reasonable and legal and non-infringing has become the key to how AI can ensure the legitimacy of its copyright.

Due to the abuse and unreasonable use of AI painting, the current ability of AI painting has attracted opposition and protest from some artists around the world.

Polish concept artist Greg Rutkowski was worried about AI's ability to paint. Known for his magnificent and fantastic oil painting style, he has recently become the most popular imitation object in AI painting. When he searched his name online, all he came up with were AI paintings, while his own works were drowned out. In a recent interview, Rutkowski lamented that he "felt his career was threatened."

After all, AI's computing power is too powerful. Compared to AI's ability to spit out a painting similar to Van Gogh's expressionist style in three seconds, most artists take hours or even days to complete the creative efficiency.

In Japan, when AI painting software "mimic" was launched, it also attracted a group of cartoonists 'collective denunciation, demanding that developers prohibit AI from imitating themselves. A growing number of foreign artists are also forming alliances to push for new policies and regulations.

Li Zonghui, vice president and associate researcher of Nanjing University of Aeronautics and Astronautics Institute of Network and Artificial Intelligence Rule of Law, once attributed the possible infringement risks involved in AI painting process to two parts: "One is the massive data set for artificial intelligence to carry out deep learning, which may contain other people's copyright works, and the artificial intelligence's use of relevant works constitutes copyright infringement; Second, artificial intelligence in a specific painting process, the use of other people's copyright works, its use constitutes copyright infringement. "Through the analysis of the material library of AI paintings and paintings, it can be judged whether the works are infringing.

In his view, if AI mechanically copied, spliced and combined other people's art, photography or graphic works through picture filters during painting, it would obviously constitute infringement. For works that are not mechanically copied, it is necessary to further develop the judgment of "substantial similarity," decompose the paintings drawn by AI and the works to be compared, observe the similarities and differences between them, and judge whether they constitute substantial infringement.

In fact, developers of painting AI tools are generally the biggest beneficiaries of AI drawing and displaying their paintings. For developers, while exploring AI creation, AI painting tool developers should ensure the legitimacy of painting materials on copyright sources, conduct necessary substantive similarity identification for imitative paintings before public publication, and update the intelligent system upgrades carried out by developers to make up for algorithm loopholes in time.

"Based on the principle that benefits are consistent with risk, developers of drawing artificial intelligence should be primarily responsible for copyright infringement of artificial intelligence. "li zonghui said.

Every technological progress will be accompanied by new technical ethics and social problems. Whether it is playing Go or painting, AI should still give consideration to its due social responsibility and technical ethics in the process of pursuing its industrialization.

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