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Lawyer's opinion: Is the "feeding" AI painter a creation or a theft?
**Original:**Xiao Sa lawyer
Core Tips
According to Article 20 of the "Administrative Measures for Generative Artificial Intelligence Services (Draft for Comment)", AIGC service providers "will be investigated for criminal responsibility in accordance with the law if a crime is constituted."
"Feeding" AI paintings by AI painting service providers does not infringe the right of reproduction and the right of information network dissemination, and will not constitute a crime of copyright infringement.
If the copyright owner takes technical measures, and the AI painting service provider avoids the technical measures to obtain pictures through "crawlers" and "feeds them", it may constitute a crime of copyright infringement.
Although the service provider of AIGC only outputs according to the user's requirements, and the user has a strong freedom to decide how to use it, as a platform, it also needs to bear certain social responsibilities. Article 20 of the "Generative Artificial Intelligence Service Management Measures (Draft for Comment)" issued by the Cyberspace Administration of China on April 11, 2023 mentions that aigc service providers "will be investigated for criminal responsibility in accordance with the law if a crime is constituted." Sister Sa's team has been in compliance before | "Feeding" AI paintings, or is it an infringing work? ! In the article, we have studied the legal nature of "feeding". From the perspective of AI creators, we believe that AI creation does not constitute infringement under normal circumstances, but it still needs to be judged on a case-by-case basis. Today we will talk about the criminal legal issues involved from the perspective of AIGC service providers.
First of all, let's review the principle of AI painting. Specifically, AI painting has a three-layer mechanism. The first layer is the basic logic layer. AI painting can complete the transfer of style. The second layer is the database. On the basis of the first layer of basic logic, AI needs a large number of "feeding pictures" to learn and summarize, and obtain different image parameter examples. This step is the so-called deep learning process. The third layer is creative output. The power of AI painting is that the pictures it generates not only conform to the text description, but more importantly, it can create images that conform to aesthetic logic. On the basis of the previous step, AI needs to tell it which result is beautiful through human engineers, and adjust the proportion of increasing such output results. This step is example learning.
Through long-term reciprocating deep learning and example learning, AI has mastered some general drawing rules, and corrected the model by summarizing the rules. Therefore, AI painting can be roughly divided into three stages of work, data collection, data processing, and image production. "Feeding the map" is the core of the second step of "deep learning", and it is also a controversial behavior. An excellent AI painting model must be supported by a huge database, so many service providers will choose to use "crawlers" to obtain large amounts of data. The space is limited. In the following, we mainly analyze whether the behavior of “feeding” AI paintings after obtaining pictures through “crawlers” constitutes a risk of copyright infringement for AI painting service providers.
The first of which mainly involves the issue of copy distribution and information network dissemination.
The provisions on reproduction and distribution protect the reproduction right of the copyright owner. According to Item 5 of Article 10 of the "Copyright Law", the right of reproduction refers to: "the right to make one or more copies of a work by means of printing, photocopying, rubbing, recording, video recording, dubbing, remake, digitization, etc." Reproduction is to fix a work on a tangible material medium in a known or unknown way, so that the work can be perceived, disseminated, and copied by others. Therefore, we believe that it generally constitutes a copying act in copyright law, which should reproduce the work on a tangible material carrier. Only through a certain material form can the work gain fixity, so that the original and the reproduction have a clear contrast. When it is stored as data, and its image parameter example is obtained, it is difficult to determine that it violates the author's right of reproduction when it has not been output.
The regulations on information network dissemination protect the copyright owner's right of information network dissemination. According to Item 12 of Article 10 of the Copyright Law, the right of information network dissemination refers to the right to provide works to the public in wired or wireless ways, so that the public can obtain the works at the time and place they personally choose. Generally, we believe that the database of AI painting service providers is non-public, and the public has no chance to directly obtain the works. On the other hand, can the public obtain the original works indirectly through the use of AI painting services? We also think it is unlikely. The core technical capability of this type of AI generative model is to represent the content created by humans with a certain high-dimensional "vector". If this content-to-vector "translation" is reasonable enough and can represent the characteristics of the content, then all the creative content of human beings can be converted into vectors in this space, then we may restore the original vector by giving all the vectors Content. But at present, our "translation" obviously does not have this ability, that is, a large amount of real-world content cannot be summarized by the "vector" of the AI system. Therefore, we believe that even if you want to trace the source through keywords, the public still cannot obtain the original work, and the AI painting service will not infringe the copyright owner's right to information network dissemination.
At the same time, according to Article 50 of the "Copyright Law", there are exceptions for circumvention of technical measures, that is, circumvention of technical measures is allowed if the conditions are met.
Based on the above, we believe that the act of “feeding pictures” generally does not have the risk of constituting a crime of copyright infringement, but if “feeding” AI paintings through “crawlers” and avoiding corresponding technical measures, it may constitute a crime of copyright infringement .
write at the end
"Copyright" formally appeared and developed in the 18th century, and was established in 1709 by the enactment of "Queen Anna's Act" in England, more than 300 years ago. The essence of copyright or authorship is to provide legal protection to the fruits of intellectual labor by endowing it with a certain monopoly, thereby encouraging intellectual labor. With the changes of the times and the advancement of science and technology, people's intellectual achievements are showing a trend of diversification. Copyright protection through positive enumeration and identification will inevitably lag behind the development of the times. On the one hand, we should encourage a future of sharing and openness. In the information age, data sharing and use will be the wave of the times; ways to protect copyright. Regardless of the current nature of the act of providing AIGC services, its development in the field of painting has had a huge impact on the industry. It is an indisputable fact that a large number of original painters are unemployed, but the profession of "AI painter" is rising. While we are considering whether AIGC-related creations violate the relevant laws and regulations on intellectual property rights, should we give more humanistic care to those people who are unwilling to accept the AIGC era?