Method and information processing apparatus

Abstract

To improve a technology to be used for adjusting the right relation of AI generation contents.SOLUTION: The information processor 20 stores each of the plurality of pieces of content provided from the plurality of creators as raw content that can be used to learn the generation AI of the user. Next, the information processing device 20 assigns metadata including the creator ID to each of the plurality of pieces of raw content. Then, when one or more pieces of raw content are input to the generative AI as training data in the training of the generative AI of the user, the information processor 20 refers to the metadata of each of the one or more pieces of raw content and gives a reward to one or more creators who have provided the one or more pieces of raw content.SELECTED DRAWING: Figure 4

Description

[Technical Field]

[0001] The present disclosure relates to a method and an information processing device. [Background technology]

[0002] Conventionally, techniques for adjusting rights relationships for AI-generated content have been known. For example, Patent Document 1 discloses determining the contribution rate of material data to AI-generated content and distributing financial benefits arising from the number of plays, sales, etc. of the AI-generated content to the rights holders of the material data according to the contribution rate. Regarding the determination of the contribution rate, it also discloses that, for example, when a new AI-generated song is generated using multiple songs (material data), if the degree of influence of each song (such as the length of the melody used in the AI-generated song) is known, the contribution rate is set according to the degree of influence. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Patent No. 7414015 Summary of the Invention [Problem to be solved by the invention]

[0004] The technology used to adjust rights for AI-generated content had room for improvement from a machine learning perspective.

[0005] The purpose of this disclosure, made in light of these circumstances, is to improve the technology used to adjust rights for AI-generated content. [Means for solving the problem]

[0006] According to one embodiment of the present disclosure, a method comprises: A method executed by an information processing device, Storing each of the plurality of pieces of content provided by the plurality of creators as material content available for training of the user's generation AI; Assigning metadata including a creator ID to each of the multiple material contents; When one or more pieces of material content are input to the generation AI as learning data during the learning of the user's generation AI, the generation AI refers to the metadata of each of the one or more pieces of material content, and awards rewards to one or more creators who provided the one or more pieces of material content; Includes.

[0007] An information processing device according to an embodiment of the present disclosure includes: An information processing device that provides an AI platform, a storage unit that stores each of a plurality of pieces of content provided by a plurality of creators as material content that can be used for training the user's generation AI; Metadata including creator IDs are assigned to each of the multiple material contents, When one or more pieces of material content are input to the generation AI as learning data during the training of the user's generation AI, a control unit refers to the metadata of each of the one or more pieces of material content and awards a reward to one or more creators who provided the one or more pieces of material content; Equipped with. [Effects of the Invention]

[0008] According to one embodiment of the present disclosure, techniques used to adjust rights relationships for AI-generated content are improved. [Brief explanation of the drawings]

[0009] [Figure 1] 1 is a block diagram illustrating a schematic configuration of a system according to an embodiment of the present disclosure. [Figure 2] FIG. 2 is a block diagram showing a schematic configuration of a terminal device. [Figure 3]FIG. 1 is a block diagram showing a schematic configuration of an information processing device. [Figure 4] 10 is a flowchart showing a first operation of the information processing device. [Figure 5] 10 is a flowchart showing a second operation of the information processing device. DETAILED DESCRIPTION OF THE INVENTION

[0010] Hereinafter, embodiments of the present disclosure will be described.

[0011] (Outline of the embodiment) An overview of a system 1 according to an embodiment of the present disclosure will be described with reference to Fig. 1. The system 1 includes a plurality of terminal devices 10 and an information processing device 20. Each of the terminal devices 10 and the information processing device 20 is communicably connected to a network 30 including, for example, the Internet and a mobile communication network.

[0012] The terminal device 10 is a computer such as a PC (Personal Computer), a smartphone, or a tablet terminal. In this embodiment, the terminal device 10 is used by a user who generates AI-generated content using a generation AI. Alternatively, the terminal device 10 is used by a creator who uploads content to the information processing device 20 as material content that can be used for training the generation AI. In this embodiment, the "content" refers to, for example, but is not limited to, images, and may be electronic data in any format, such as music, text, or a program. Furthermore, the "creator" refers to, for example, but is not limited to, the creator of the content, and will be described as referring to the copyright holder of the content.

[0013] The information processing device 20 is, for example, one server device or multiple computers that can communicate with each other. The information processing device 20 can communicate with each of the terminal devices 10 via a network 30. In this embodiment, the information processing device 20 functions as an AI platform. The AI ​​platform provides any services related to the generation AI, such as providing the generation AI to users, training the generation AI, and selling AI-generated content by the generation AI. In this embodiment, the AI ​​platform is implemented as a web application. In one example, a user uses the terminal device 10 to log in as a user to a web page provided by the information processing device 20. On the web page, the user selects desired material content provided by the AI ​​platform to train the generation AI. The user specifies desired prompts to cause the generation AI to generate AI-generated content. Training the generation AI and generating the AI-generated content are performed by the information processing device 20. The user can then download the AI-generated content to the terminal device 10 or sell it on the AI ​​platform. Meanwhile, a creator uses the terminal device 10 to log in as a creator to a web page provided by the information processing device 20. On the web page, the creator can select any content that he or she wishes to provide as material content from among the content stored in the terminal device 10 and upload it to the information processing device 20.

[0014] First, an overview of this embodiment will be described, and details will be provided later. The information processing device 20 stores each of multiple pieces of content provided by multiple creators as material content that can be used for training the user's generation AI. Next, the information processing device 20 assigns metadata including a creator ID to each of the multiple pieces of material content. Then, when one or more pieces of material content are input to the generation AI as training data during training of the user's generation AI, the information processing device 20 references the metadata of each of the one or more pieces of material content and awards rewards to one or more creators who provided the one or more pieces of material content.

[0015] Typically, a generative AI is trained to learn features from a large amount of content used as training data. However, when a user uses (e.g., sells) AI-generated content generated using a generative AI, they may unintentionally infringe the copyrights of others and be liable for damages. On the other hand, even if a creator believes that their copyright has been infringed through the sale of AI-generated content by a third party, the predictability of whether a claim for damages based on copyright infringement will actually be upheld in court is not necessarily high, making it difficult to file a lawsuit. In contrast, according to this embodiment, compensation is awarded to the creator of the material content input into the generative AI as training data. This allows creators to receive compensation for providing the material content without having to file a lawsuit for damages based on copyright infringement. Furthermore, for users, the likelihood of being sued by the creator is reduced. This reduces the likelihood of impacts on sales of the AI-generated content and damage to the user's reputation, allowing them to sell the AI-generated content with peace of mind. Therefore, this embodiment improves the technology used to adjust the rights of AI-generated content by resolving issues related to the rights of AI-generated content.

[0016] Next, each component of the system 1 will be described in detail.

[0017] (Terminal Device Configuration) As shown in FIG. 2, the terminal device 10 includes a communication unit 11, an output unit 12, an input unit 13, a storage unit 14, and a control unit 15.

[0018] The communication unit 11 includes one or more communication interfaces connected to the network 40. The communication interfaces correspond to mobile communication standards such as, but not limited to, 4G (4th Generation) or 5G (5th Generation). In this embodiment, the terminal device 10 communicates with the information processing device 20 via the communication unit 11 and the network 30.

[0019] The output unit 12 includes one or more output devices that output information. Examples of the output devices include, but are not limited to, a display that outputs information as a video or a speaker that outputs information as a sound. Alternatively, the output unit 12 may include an interface for connecting an external output device.

[0020] The input unit 13 includes one or more input devices that detect an input operation by a user. Examples of the input devices include, but are not limited to, physical keys, capacitive keys, a mouse, a touch panel, a touch screen integrated with the display of the output unit 12, or a microphone. Alternatively, the input unit 13 may include an interface for connecting an external input device.

[0021] The storage unit 14 includes one or more memories. The memories may be, for example, semiconductor memories, magnetic memories, optical memories, or the like, but are not limited to these. Each memory included in the storage unit 14 may function, for example, as a main storage device, an auxiliary storage device, or a cache memory. The storage unit 14 stores any information used in the operation of the terminal device 10. Furthermore, for example, the storage unit 14 may store system programs, application programs, embedded software, and the like. For example, the information stored in the storage unit 14 may be updatable with information obtained from the network 30 via the communication unit 11, for example.

[0022] The control unit 15 includes one or more processors, one or more programmable circuits, one or more dedicated circuits, or a combination thereof. The processor may be, for example, a general-purpose processor such as a CPU (Central Processing Unit) or a GPU (Graphics Processing Unit), or a dedicated processor specialized for a specific process, but is not limited to these. The programmable circuit may be, for example, but is not limited to, an FPGA (Field-Programmable Gate Array). The dedicated circuit may be, for example, but is not limited to, an ASIC (Application Specific Integrated Circuit). The control unit 15 controls the operation of the terminal device 10.

[0023] (Configuration of information processing device) As shown in FIG. 3, the information processing device 20 includes a communication unit 21, an output unit 22, an input unit 23, a storage unit 24, and a control unit 25.

[0024] The communication unit 21 includes one or more communication interfaces connected to the network 30. The communication interfaces correspond to, for example, a mobile communication standard, a wired LAN (Local Area Network) standard, or a wireless LAN standard, but are not limited to these and may correspond to any communication standard. In this embodiment, the information processing device 20 communicates with each terminal device 10 via the communication unit 21 and the network 30.

[0025] The output unit 22 includes one or more output devices that output information. Examples of the output devices include, but are not limited to, a display that outputs information as a video or a speaker that outputs information as a sound. Alternatively, the output unit 22 may include an interface for connecting an external output device.

[0026] The input unit 23 includes one or more input devices that detect an input operation by a user. Examples of the input devices include, but are not limited to, physical keys, capacitive keys, a mouse, a touch panel, a touch screen integrated with the display of the output unit 22, or a microphone. Alternatively, the input unit 23 may include an interface for connecting an external input device.

[0027] The storage unit 24 includes one or more memories. Each memory included in the storage unit 24 may function as, for example, a main storage device, an auxiliary storage device, or a cache memory. The storage unit 24 stores any information used in the operation of the information processing device 20. For example, the storage unit 24 may store a system program, an application program, embedded software, etc. In this embodiment, the storage unit 24 stores an application program required as an AI platform. In this embodiment, the storage unit 24 also stores material content that can be used for training the generating AI. The storage unit 24 also stores the generating AI (the model itself) to be provided to the user.

[0028] The control unit 25 includes one or more processors, one or more programmable circuits, one or more dedicated circuits, or a combination thereof. The processor may be, for example, a general-purpose processor such as a CPU (Central Processing Unit) or a GPU (Graphics Processing Unit), or a dedicated processor specialized for a specific process, but is not limited to these. The programmable circuit may be, for example, but is not limited to, an FPGA (Field-Programmable Gate Array). The dedicated circuit may be, for example, but is not limited to, an ASIC (Application Specific Integrated Circuit). The control unit 25 controls the overall operation of the information processing device 20.

[0029] (Operation flow of information processing device) The operation of the information processing device 20 according to this embodiment will be described with reference to Figures 4 and 5. Figure 4 shows a first operation of adding metadata to material content, and Figure 5 shows a second operation of adding a reward to the creator of the material content.

[0030] S100: The control unit 25 of the information processing device 20 stores each of a plurality of pieces of content provided by a plurality of creators as material content that can be used for training the generation AI.

[0031] Specifically, each creator uploads content to be provided as material content to the AI ​​platform to the information processing device 20 using the input unit 13 of the terminal device 10. The control unit 25 of the information processing device 20 stores each of the multiple pieces of content uploaded by multiple creators in the storage unit 24 as material content that can be used for training the generation AI.

[0032] The material content may be AI-generated content created by a user using a generation AI.

[0033] S101: The control unit 25 assigns metadata including a creator ID to each of a plurality of material contents.

[0034] Specifically, when the content is recorded as a plurality of material contents in S100, the control unit 25 refers to the creator ID of the creator who uploaded the content and assigns metadata including the creator ID to each of the plurality of material contents. Alternatively, the assignment of the metadata including the creator ID may be performed or modified by the creator who uploaded the material content.

[0035] "Metadata" is information for describing, defining, or controlling material content. Metadata includes the creator ID described above, but may also include any information for describing, defining, or controlling material content, such as the creation date of the material content, content attributes of the material content, etc.

[0036] The "creator ID" is information that uniquely identifies the creator who provided each of the multiple material contents stored in the storage unit 24. The creator ID may be expressed using alphanumeric characters or symbols, but may also be expressed using any other expression, including but not limited to these. Furthermore, when a single material content is provided by multiple creators, the metadata assigned to the single material content may include multiple creator IDs. Furthermore, when the metadata for the single material content includes multiple creator IDs, the metadata may also include information on the contribution of each of the multiple creators to the single material content.

[0037] "Content attribute" is information indicating any attribute according to the characteristics of the material content. For example, attributes of material content that is an image include attributes such as "portrait," "landscape," "realism," or "impressionism," but the attributes of material content are not limited to these examples. Also, one material content may have multiple content attributes. For example, in a certain material content, the first content attribute may be "portrait," and the second content attribute may be "realism." Also, for example, in a certain material content, the first content attribute may be "landscape," and the second content attribute may be "impressionism."

[0038] Next, a second operation of the information processing device 20 according to this embodiment will be described with reference to FIG.

[0039] S200: The control unit 25 of the information processing device 20 detects that, in the learning of the user's generation AI, one or more pieces of material content have been input to the generation AI as learning data.

[0040] Specifically, when a user inputs one or more pieces of material content for learning of the generation AI, the control unit 15 of the terminal device 10 detects that the one or more pieces of material content have been input to the generation AI as learning data, and proceeds to S201. Note that the one or more pieces of material content can be input in any manner, such as by using an input form on a web page.

[0041] S201: The control unit 25 refers to the metadata of each of the one or more material contents.

[0042] Specifically, the control unit 25 refers to the creator ID included in the metadata of the one or more pieces of material content.

[0043] S202: The control unit 25 awards a reward to one or more creators who have provided the one or more material contents.

[0044] Specifically, the control unit 25 determines the creators associated with the creator IDs of the one or more material contents referenced in S202 as creators who provided the one or more material contents, and then grants a reward to each of the determined creators.

[0045] The "reward" may be, for example, money, electronic money, virtual currency, or points equivalent to money, but is not limited to these and may be any reward for the creator.

[0046] The reward may vary from creator to creator. For example, the more famous a creator is, the higher the reward may be. Alternatively, the reward may be based on the content attributes of each piece of material content. For example, if the content attributes are included in the metadata of the material content, the control unit 25 may refer to the content attributes of the material content. Then, for example, if the content attribute of the material content is a portrait, the control unit 25 may provide a higher reward than if the content attribute is a landscape painting.

[0047] Furthermore, when the metadata of the material content includes multiple creator IDs, the reward may be awarded to each of the multiple creators, or to the creator with the highest contribution to the material content among the multiple creators included in the metadata of the material content. Furthermore, when awarding rewards to each of the multiple creators, the control unit 25 may award rewards to each creator based on the contribution to the material content of each of the multiple creators included in the metadata of the material content.

[0048] The creator may be rewarded at any time after the material content provided by the creator is input to the generation AI as training data. For example, the creator may be rewarded immediately after the material content provided by the creator is input to the generation AI as training data, or when a user uses the generation AI after the material content is input to the generation AI.

[0049] The control unit 25 may charge the user a content usage fee.

[0050] As described above, the information processing device 20 stores each of the multiple pieces of content provided by multiple creators as material content that can be used for training the user's generation AI. Next, the information processing device 20 assigns metadata including a creator ID to each of the multiple pieces of material content. Then, when one or more pieces of material content are input to the generation AI as training data during training of the user's generation AI, the information processing device 20 references the metadata of each of the one or more pieces of material content and awards rewards to one or more creators who provided the one or more pieces of material content.

[0051] According to this embodiment, a reward is awarded to the creator of the material content input as training data to the generation AI. This allows the creator to receive compensation for providing the material content without having to file a lawsuit for damages based on copyright infringement. Furthermore, the user is less likely to be sued by the creator. This reduces the likelihood of the impact on sales of the AI-generated content and damage to the user's reputation, allowing the user to sell the AI-generated content with peace of mind. Therefore, this embodiment improves the technology used to adjust rights regarding AI-generated content by resolving issues related to rights regarding AI-generated content.

[0052] Although the present disclosure has been described based on the drawings and examples, it should be noted that those skilled in the art may make various modifications and alterations based on the present disclosure. Therefore, it should be noted that these modifications and alterations are included in the scope of the present disclosure. For example, the functions included in each component or step can be rearranged so as not to be logically inconsistent, and multiple components or steps can be combined or divided into one.

[0053] For example, in the above-described embodiment, the configuration and operation of the information processing device 20 may be distributed among multiple computers that can communicate with each other. Also, for example, an embodiment in which some or all of the components of the information processing device 20 are provided in the terminal device 10 may be possible. For example, the terminal device 10 may include some or all of the components of the information processing device 20.

[0054] Furthermore, for example, in the above-described embodiment, the control unit 25 may determine whether or not the input content input as learning data to the generation AI is material content.

[0055] For example, if the input content has metadata attached thereto, the control unit 25 may determine that the input content is material content. If the control unit 25 determines that the input content is material content, the control unit 25 may then provide a reward to the creator who provided the material content in S202.

[0056] In addition, in the above-mentioned modified example, if the input content does not have metadata attached, the control unit 25 may calculate the similarity between the input content and each of the multiple material contents, and award a reward to the creator of the material content selected based on the similarity.

[0057] Specifically, if the input content has no metadata, the control unit 25 may calculate the similarity between the input content and each of the plurality of material contents using any method, such as AI, etc. Then, if the similarity is equal to or greater than a predetermined threshold, the control unit 25 may provide a reward to the creator of the material content.

[0058] The "predetermined threshold" may be predetermined or may be changeable by the administrator of the AI ​​platform.

[0059] In the above-described modified example, the control unit 25 may provide a reward to the creator of the material content in an amount according to the degree of similarity. For example, the control unit 25 may provide a higher reward to the creator as the degree of similarity increases.

[0060] Also, for example, in the above-described embodiment, control unit 25 may provide an AI platform on which users can sell AI-generated content.

[0061] In this way, by providing a platform where users can sell AI-generated content, the likelihood of an increase in the number of users using the AI ​​platform according to this embodiment may increase.

[0062] Also, for example, in the above-described embodiment, the control unit 25 may determine the extent to which a user can use the AI-generated content generated using the generation AI, depending on the total amount of remuneration awarded to the creator or the number of times it has been awarded during learning.

[0063] For example, the control unit 25 may widen the range in which the AI-generated content can be used as the total amount of reward or the number of times the reward is given increases.

[0064] The "scope within which AI-generated content can be used" may be, for example, whether it can be sold on the AI ​​platform, the period during which it can be sold, the area in which it can be sold, or the person to whom it can be sold, but it may also be used within any scope without being limited to these.

[0065] Furthermore, for example, the control unit 25 may determine the extent to which the AI-generated content can be used by a smart contract and store it in the blockchain.

[0066] In this way, the use of blockchain technology may enable secure transactions of AI-generated content.

[0067] Also, for example, an embodiment is possible in which a general-purpose computer functions as the information processing device 20 according to the above-described embodiment. Specifically, a program describing the processing content for realizing each function of the information processing device 20 according to the above-described embodiment is stored in the memory of the general-purpose computer, and the program is read and executed by a processor. Therefore, the present disclosure can also be realized as a program executable by a processor, or a non-transitory computer-readable medium storing the program. [Explanation of symbols]

[0068] 1 System 10 Terminal Equipment 11 Communications Department 12 Output section 13 Input section 14 Storage section 15 Control Unit 20 Information processing equipment 21 Communications Department 22 Output section 23 Input section 24 Memory section 25 Control Unit 30 Network

Claims

1. A method executed by an information processing device, Storing each of the plurality of pieces of content provided by the plurality of creators as material content that can be used for training the user's generation AI; assigning metadata including a creator ID to each of a plurality of material contents; When one or more pieces of material content are input to the generation AI as learning data during the learning of the user's generation AI, the generation AI refers to the metadata of each of the one or more pieces of material content, and awards rewards to one or more creators who provided the one or more pieces of material content; A method comprising:

2. 10. The method of claim 1, In the learning, determining whether or not the input content input as learning data to the generation AI is material content; The method further comprises:

3. 3. The method of claim 2, The information processing device includes: If the input content has metadata attached thereto, determining that the input content is material content and providing a reward to the creator who provided the material content; The method comprises: If the input content has no metadata attached thereto, calculating a similarity between the input content and each of the plurality of material contents; and awarding a reward to a creator of the selected material content based on the similarity.

4. 10. The method of claim 1, The method further includes, during the learning, determining the extent to which the user can use the AI-generated content generated using the generation AI, depending on the total amount or number of times the reward has been awarded to the creator.

5. An information processing device that provides an AI platform, a storage unit that stores each of a plurality of pieces of content provided by a plurality of creators as material content that can be used for training a user's generation AI; Metadata including a creator ID is assigned to each of the plurality of material contents, When one or more pieces of material content are input to the generation AI as learning data during the training of the user's generation AI, a control unit refers to the metadata of each of the one or more pieces of material content and awards rewards to one or more creators who provided the one or more pieces of material content; An information processing device comprising:

Images