Information processing system, information processing method, and program

Abstract

To enable a creator and users of a generated AI to benefit each other.SOLUTION: An information processing device includes a storage unit that stores creation information in which a creation and a creator are associated with each other, a AI generation unit that generates a product by using generative AI obtained by learning the creation stored in the storage unit, a contribution degree calculation unit that calculates a contribution degree of the creation stored in the storage unit in generation of the product by the generative learning data, and a reward calculation unit that calculates reward information indicating a reward to be given to the creator who creates the creation corresponding to the contribution degree based on the contribution degree calculated by the contribution degree calculation unit.SELECTED DRAWING: Figure 1

Description

[Technical Field]

[0001] The present invention relates to an information processing system, an information processing method, and a program. [Background technology]

[0002] As computers evolve, the use of generative AI is becoming more prominent. Generative AI is a model trained to generate new content by learning patterns and relationships in data. For example, there are many examples of AI being used to support artistic and creative activities, such as image generation AI, music generation AI, and novel generation AI. Patent Document 1 discloses a technology that uses image generation AI to generate advertising images that will interest service users. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Application Publication No. 2024-060907 Summary of the Invention [Problem to be solved by the invention]

[0004] However, conventional technology did not take into consideration the possibility that products generated by generative AI may infringe on the intellectual property rights of others. Because generative AI generates images based on trained data, it may generate products that are similar to or nearly identical to the trained data. If a creator's creation is used as training data, the generative AI may generate products similar to the creator's creation. If users use the generative AI's creations, the creator loses an opportunity to earn profits. For this reason, creators may stop creating to avoid their creations being used as training data, which could lead to a cultural atrophy.

[0005] The present invention has been made in consideration of this situation, and aims to provide an information processing system, information processing method, and program that enable creators and users of generative AI to mutually benefit. [Means for solving the problem]

[0006] The information processing system of the present invention comprises a memory unit that stores creative work information that associates creative works with creators, a data generation unit that generates a product using a generation AI that has learned the creative works stored in the memory unit, a contribution calculation unit that calculates the contribution of the creative work stored in the memory unit in the generation of the product by the generation AI, and a reward calculation unit that calculates reward information indicating the reward to be granted to the creator who created the creative work corresponding to the contribution based on the contribution calculated by the contribution calculation unit.

[0007] The information processing method of the present invention is an information processing method performed by a computer, in which a memory unit stores creative work information that corresponds to a creative work and a creator, a data generation unit generates a product using a generation AI that has learned the creative work stored in the memory unit, a contribution calculation unit calculates the contribution of the creative work stored in the memory unit in the generation of the product by the generation AI, and a reward calculation unit calculates reward information indicating the reward to be granted to the creator who created the creative work corresponding to the contribution based on the contribution calculated by the contribution calculation unit.

[0008] The program of the present invention causes a computer to store creative work information that associates creative works with creators, generates a product using a generation AI that has learned the stored creative works, calculates the contribution of the stored creative work in the generation of the product by the generation AI, and calculates, based on the contribution, reward information that indicates the reward to be granted to the creator who created the creative work that corresponds to the contribution. [Effects of the Invention]

[0009] According to the present invention, it is possible for creators and users of the generating AI to mutually benefit. [Brief explanation of the drawings]

[0010] [Figure 1] 1 is a block diagram showing an example of the configuration of an information processing system 1 according to an embodiment. [Figure 2] 2 is a diagram showing an example of information stored in a creation storage unit of the information processing system 1 according to the embodiment. FIG. [Figure 3] 2 is a sequence diagram showing the flow of processing performed by the information processing system 1 of the embodiment. FIG. [Figure 4] 2 is a sequence diagram showing the flow of processing performed by the information processing system 1 of the embodiment. FIG. DETAILED DESCRIPTION OF THE INVENTION

[0011] Hereinafter, an embodiment of the present invention will be described with reference to the drawings.

[0012] (About Information Processing System 1) The information processing system 1 is a system that provides a generation service. In the generation service, a generation AI that has been trained on a creative work CG is used to generate a product that meets the request of a user U. The generation AI here is an AI that learns patterns and relationships using training data and generates content based on the learned content. An LLM (Large Language Model) can be used as the generation AI. For example, GPT-4 (registered trademark), Llama2, PaLM2, etc. can be used as the generation AI. Furthermore, an image generation AI can be used as the generation AI. The image generation AI is a generation AI that receives input of a string (prompt) that specifies the image to be generated, and generates and outputs an image in accordance with the prompt. An example of the image generation AI is Stable Diffusion.

[0013] For example, in this embodiment, a dedicated application (hereinafter referred to as "generation app") is distributed to a user U of the generation service. The user downloads the distributed generation app and installs it on the user U's terminal device (user terminal). The user U operates the user terminal to start the generation app and performs user registration, etc., thereby becoming able to use the generation service via the generation app. In the above example, the generation service is provided by installing a generation application on a user terminal, but this is not limiting. The generation service may be provided by a web system (i.e., a web application). In this case, the generation service is provided via a web browser. A user U can access a predetermined URL corresponding to the generation service and register as a user to use the generation service via the generation application.

[0014] Fig. 1 is a block diagram showing an example of the configuration of an information processing system 1 according to an embodiment. As shown in Fig. 1, the information processing system 1 includes, for example, a generation AI creation device 10, a service provision device 20, and a reward payment device 30. In the information processing system 1, the generation AI creation device 10, the service provision device 20, and the reward payment device 30 are communicatively connected via a communication network or the like.

[0015] In a generation service, for example, a creator C is recruited who agrees to have their creation Cg used to train a generation AI, on the condition that they will be paid a fee for the creation Cg. The creation Cg for which creator C's consent has been obtained is then trained by the generation AI. The generation service is provided using the generation AI created in this way, and usage fees are received from users who use the generation service, which are then returned to creator C. Specifically, the generation AI creation device 10 creates a generation AI that has been trained on a creative work Cg created by a creator C. The service providing device 20 uses the generation AI that has been trained on the creative work Cg to generate a product Mg in response to a request from a user U. The reward payment device 30 pays a reward to the creator C according to the degree of contribution (contribution level) of the creative work Cg in the generation of the product Mg by the generation AI. The processing performed by the generation AI creation device 10, the service providing device 20, and the reward payment device 30 will be described in detail later. In this way, in this embodiment, a reward is paid to creator C on the condition that the creation Cg is used for training the generation AI. For example, a reward is paid based on the contribution of the creation Cg to the generation of the product Mg by the generation AI, using income obtained as a usage fee as a financial resource. This allows creator C to benefit when the generation AI generates a product Mg similar to the creation Cg. Therefore, creator C can continue creating, and the generation AI can use the creation Cg as a learning subject.

[0016] (Regarding the Generative AI Creation Device 10) Generative AI creation device 10 is a computer that creates a generative AI. Generative AI creation device 10 is realized by a cloud, a server device, a PC (personal computer), etc. Generative AI creation device 10 includes, for example, a creation storage unit 11, a generative AI learning unit 12, and a generative AI storage unit 13. The generating AI creating device 10 creates a generating AI that has been trained on a creation Cg created by a creator C. The creative work Cg here is created by a creator C (human) and is either an image, sound, or text, or a combination of these. Images include moving and still images, as well as images and image materials such as photographs, videos, illustrations, animations, paintings, advertisements, and designs. Sounds include sounds and sound materials such as music, musical pieces, performance sounds, singing voices, voices, electronic sounds, electronic voices, alarm sounds, and melodies. Texts include texts such as novels, columns, articles, catchphrases, scenarios, documents, poems, lyrics, haiku, tanka, titles, and the like.

[0017] The creative work storage unit 11 stores information about creative works (creative work information). As creative work information, the creative work storage unit 11 stores information indicating the creative work itself and attribute information indicating tags (attributes) of the creative work. The information indicating the creative work itself is, for example, image information if the creative work is an image, or sound information if the creative work is sound, or text information if the creative work is text. The attribute information is, for example, information indicating the creator who created the creative work, the type of the creative work, whether it is an image, sound, or text, and information indicating what (object) is expressed in the creative work.

[0018] FIG. 2 is a diagram showing an example of information (creation information) stored in the creation storage unit of the information processing system 1 according to the embodiment. 2, the creation storage unit 11 stores information corresponding to each of the items, for example, a creation ID, creation, type, object, and creator. Of these, type, object, and creator are examples of attribute information indicating tags (attributes) of a creation. Information indicating the creation (for example, an electronic file, etc.) and attribute information indicating the tag (attribute) of the creation are set by, for example, the creation Cg. The creative work ID is identification information that identifies the creative work. The creative work is information that indicates the creative work itself. Here, a thumbnail image is shown. The creative work item may also store information indicating an electronic file that indicates image information or a URL where the image information is stored. The type indicates whether the item is an image, sound, or text. Here, a type indicating an illustration (image) is shown. The object is something depicted in a creative work (illustration). Here, "apple" is shown as the object of the creative work (illustration) identified by the creative work ID (ID0001). "Pear" and "leaf" are shown as the objects of the creative work (illustration) identified by the creative work ID (ID0002). This is because the creative work identified by the creative work ID (ID0002) includes an illustration of a pear with leaves. In this way, the object item may indicate multiple things depicted in the creative work. It may also indicate information on a broader concept, such as fruit or food, or more specific varieties, such as Red Delicious apples, Jonagold apples, and Kosui apples. Keywords indicating the style or drawing method, such as American comic book style, graphic novel style, watercolor painting, line drawing, or pictogram, may also be shown in the object item. The creator is information indicating the creator of the creative work. Here, "Creator A" is shown as the creator of the work identified by the work ID (ID0001), and "Creator B" is shown as the creator of the work identified by the work ID (ID0002).

[0019] Returning to the explanation of Figure 1, the generation AI learning unit 12 causes the generation AI to learn the creation Cg. The generation AI learning unit 12 uses the creation Cg stored in the creation storage unit 11 as a learning creation, and causes the generation AI to learn the correspondence between the learning creation and the attribute information of the learning creation. As a result, the generation AI is trained to generate a product from the learned content (i.e., the creation Cg stored in the creation storage unit 11) in accordance with the input prompt. The prompt here is a character or string of characters that instructs the generation AI on the content to be generated. The generation AI learning unit 12 stores information for constructing the learned generation AI in the generation AI storage unit 13. The generation AI storage unit 13 stores information for constructing the generation AI learned by the generation AI learning unit 12.

[0020] The memory units (including the creation memory unit 11 and the generation AI memory unit 13) provided in the generation AI creation device 10 are configured with storage media such as a hard disk drive (HDD), flash memory, electrically erasable programmable read-only memory (EEPROM), random access read / write memory (RAM), read-only memory (ROM), or a combination of these. The memory units provided in the generation AI creation device 10 store programs for executing various processes in the generation AI creation device 10, and temporary data used when performing various processes.

[0021] In addition, the functional units (including the generation AI learning unit 12) of the generation AI creation device 10 are realized by executing a program on a CPU (Central Processing Unit) and / or GPU (Graphics Processing Unit) that the generation AI creation device 10 has as hardware.

[0022] (Regarding the service providing device 20) The service providing device 20 is a computer that generates a product Mg. The service providing device 20 is realized by a cloud, a server device, a PC (personal computer), etc. The service providing device 20 includes, for example, a data generating unit 21 and a usage fee receiving unit 22.

[0023] The data generation unit 21 generates information (generation data) indicating the product Mg. The data generation unit 21 acquires information for constructing the generation AI created by the generation AI creation device 10 by referring to the generation AI storage unit 13 of the generation AI creation device 10. The data generation unit 21 constructs the generation AI using the acquired information. The data generation unit 21 acquires a prompt. For example, if you want the generation AI to generate an illustration of an apple with leaves, you input a string of characters such as "apple, illustration, leaf" to the generation AI as a prompt. This causes the generation AI to generate content (an illustration of an apple with leaves) according to the input prompt. If the generation AI does not support Japanese and only supports English, the prompt will be an English string such as "Apple, illustration, leaf." In this embodiment, a prompt is notified by the user U. For example, the user U operates the user terminal, inputs the prompt into a predetermined input screen (input screen for inputting a prompt) in the generation app, and taps the send button. As a result, the user terminal transmits the prompt input by the user U to the service providing device 20. The service providing device 20 outputs the prompt received from the user terminal to the data generating unit 21. As a result, the data generating unit 21 acquires the prompt notified by the user U.

[0024] Here, the data generation unit 21 may generate a prompt according to attribute information indicating the tag (attribute) of the creation CG. Generating a prompt according to the tag set in the creation CG can make it easier for the creation CG to contribute to the generation of the product Mg. For example, if a creation CG1 showing an illustration of an apple and a creation CG2 showing an illustration of a pear with leaves are registered as creations CG, generating a string such as "apple, illustration, leaf" as a prompt can cause the generation AI to generate an illustration of an "apple with leaf" as the product Mg, which is a combination of the "apple" in the creation CG1 and the "leaf" in the creation CG2. In this case, the creations CG1 and CG2 can contribute to the generation of the product Mg. Specifically, the data generation unit 21 provides an input field corresponding to an item according to the tag (attribute) on an input screen (an input screen for inputting a prompt) in the generation application. For example, if "type" is set as a tag (attribute), an input field corresponding to the type item displays options that allow the user to set the type as either image, sound, or text. Furthermore, if the type of image is selected, options are displayed that allow the user to set the type as illustration, photograph, etc. The data generation unit 21 sets these options according to the type in the attribute information of the creative work Cg stored in the creative work storage unit 11. This allows the type of the creative work Cg stored in the creative work storage unit 11 to be set as the type of the product Mg, making it easier for the creative work Cg to contribute to the generation of the product Mg. Furthermore, when "object" is set as a tag (attribute), an input field corresponding to the object item displays options that allow the user to set an object such as an apple, a pear, or a leaf. The data generation unit 21 sets these options according to the object in the attribute information of the creative work Cg stored in the creative work storage unit 11. This allows the object of the creative work Cg stored in the creative work storage unit 11 to be set as the object of the product Mg, making it easier for the creative work Cg to contribute to the generation of the product Mg. Here, the object options may be set to allow selection of higher conceptual information such as fruits or foods, or more specific varieties such as Kogyoku, Jonagold, and Kosui, similar to the objects of the creative work CG in the creative work storage unit 11. Furthermore, keywords indicating the style or drawing method, such as American comic book style, dramatic comic style, watercolor painting, line drawing, pictogram, etc., may be displayed as object options.

[0025] The data generation unit 21 inputs a prompt to the generation AI. The generation AI generates a product Mg in response to the input prompt. The service providing device 20 outputs information (generation data) indicating the product Mg generated by the generation AI to the user terminal. The information (generation data) indicating the product Mg is, for example, image information if the product Mg is an image, sound information if the product Mg is sound, or text information if the product Mg is text. For example, the data generation unit 21 transmits to the user terminal an electronic file indicating information indicating the product Mg, or information indicating a URL where information indicating the product Mg is stored.

[0026] The usage fee receiving unit 22 acquires the usage fee. The usage fee here is a fee paid by the user U as consideration for using the generation service. The usage fee receiving unit 22 acquires the usage fee paid by the user U via a predetermined payment method, such as payment by debit from the user's pre-registered account, payment using a credit card or electronic payment, or payment using points or coupons held by the user U.

[0027] The storage unit included in the service providing device 20 is configured by a storage medium such as an HDD, a flash memory, an EEPROM, a RAM, a ROM, or a combination of these. The storage unit included in the service providing device 20 stores programs for executing various processes in the service providing device 20 and temporary data used when performing various processes.

[0028] Furthermore, the functional units (including the data generation unit 21 and the usage fee receiving unit 22) of the service providing device 20 are realized by causing a CPU and / or a GPU, which the service providing device 20 has as hardware, to execute a program.

[0029] Remuneration payment device 30 is a computer that pays a remuneration to creator C. Remuneration payment device 30 is realized by a cloud, a server device, a PC (personal computer), etc. Remuneration payment device 30 includes, for example, a remuneration payment unit 31 and a contribution degree calculation unit 32.

[0030] The contribution calculation unit 32 calculates the contribution. The contribution here is the degree to which the creative work Cg contributed to the generation of the product Mg by the generation AI. The contribution calculation unit 32 calculates the contribution using XAI (Explainable AI), that is, explainable AI. Any method can be used for the XAI here. For example, an influence function can be used as the XAI. The influence function is a method for calculating the degree of influence that individual learning data had on the generation of the product Mg by the generation AI. By using the influence function, it is possible to indicate the degree to which each creative work Cg used as learning data for the generation AI contributed to the generation of the product Mg by the generation AI. The contribution calculation unit 32 outputs the calculated contribution to the remuneration payment unit 31.

[0031] The remuneration payment unit 31 pays a remuneration to the creator C. The remuneration payment unit 31 calculates remuneration information indicating the remuneration amount according to the degree of contribution calculated by the contribution degree calculation unit 32. The remuneration payment unit 31 calculates the remuneration information so that a larger remuneration amount is paid to a creator C who created a creative work Cg with a larger degree of contribution, and a smaller remuneration amount is paid to a creator C who created a creative work Cg with a smaller degree of contribution. For example, the remuneration payment unit 31 calculates the remuneration amount to be paid to the creator C who created the creative work Cg as the amount obtained by subtracting a predetermined fee from the usage fee paid by the user U (refund amount) and multiplying this amount by a rate according to the degree of contribution of the creative work Cg. For example, suppose that the generation AI generates an illustration of an apple with leaves as a product Mg, and the contribution rate of a creation Cg1 showing an illustration of an apple created by creator A is 0.8, and the contribution rate of a creation Cg2 showing an illustration of a pear with leaves created by creator B is 0.2. In this case, the remuneration payment unit 31 determines the remuneration amount to be paid to creator A as the amount obtained by multiplying the return amount by the contribution rate (0.8), and the remuneration amount to be paid to creator B as the amount obtained by multiplying the return amount by the contribution rate (0.2). The remuneration payment unit 31 pays the remuneration according to the calculated remuneration information to the creator C. For example, the remuneration payment unit 31 pays the remuneration to the creator C via a predetermined payment method, such as by transferring money to the account of a user registered in advance, or by granting points or coupons to the user U.

[0032] The storage unit of the reward payment device 30 is configured by a storage medium such as an HDD, flash memory, EEPROM, RAM, ROM, or a combination of these. The storage unit of the reward payment device 30 stores programs for executing various processes in the reward payment device 30, and temporary data used when performing various processes.

[0033] In addition, the functional units (including the reward payment unit 31 and the contribution calculation unit 32) of the reward payment device 30 are realized by having the CPU and / or GPU that the reward payment device 30 has as hardware execute a program.

[0034] Here, the flow of processing performed by the information processing system 1 will be described with reference to Fig. 3 and Fig. 4. Fig. 3 and Fig. 4 are sequence diagrams for explaining the flow of processing performed by the information processing system 1 according to the embodiment.

[0035] FIG. 3 mainly shows the flow of a series of processes up to the production of product Mg using produced AI.

[0036] Creator C registers information (creation data) indicating a creation Cg (step S10). For example, creator C installs a generation app on his / her own terminal device (creator terminal) and performs user registration, enabling him / her to use the generation service as a creator who provides a creation Cg. Creator C operates the creator terminal to display a screen (registration screen) for registering the creation Cg in the generation app on the creator terminal. For example, the registration screen has a setting field for setting the creation Cg, a check field for confirming consent, and a registration button. Creator C sets an electronic file such as image information as information (creation data) indicating the creation Cg in the setting field. Creator C also checks the check field to agree that the creation Cg will be used for training the generation AI and that he / she will receive compensation based on the degree to which the creation Cg contributed to the generation of the product Mg by the generation AI. Then, he / she taps the registration button. As a result, information (creation data) indicating the creation Cg is transmitted from the creator terminal to the generation AI creation device 10. The generation AI creating device 10 receives information (creation data) indicating the creation Cg from the creator terminal, and stores the received information in the creation storage unit 11.

[0037] In addition, creator C inputs tags (attributes) of the registered creation Cg (step S11). For example, creator C operates the creator terminal to display a screen (tag input screen) for inputting tags of the creation Cg in the generation app on the creator terminal. The tag input screen may be provided as part of the above-mentioned registration screen. The tag input screen has an input field for inputting tags of the creation Cg and a registration button. An input field is provided, for example, for each item. The items provided here are items indicating tags (attributes), and are, for example, items corresponding to the type, object, creator, etc. in the creation storage unit 11. Creator C inputs attribute information according to the items and taps the registration button. As a result, the attribute information of the creation Cg is transmitted from the creator terminal to the generation AI creation device 10. The generation AI creation device 10 receives the attribute information of the creation Cg from the creator terminal and stores the received attribute information in the creation storage unit 11.

[0038] The generation AI learning unit 12 refers to the creation storage unit 11 and requests acquisition of information indicating the creation Cg and attribute information indicating the tags of the creation Cg (step S12), and reads out the information indicating the creation Cg and the attribute information indicating the tags of the creation Cg from the creation storage unit 11 (step S13). The generation AI learning unit 12 uses the read information indicating the creation Cg as a learning creation and causes the generation AI to learn the correspondence between the information and the tags (attributes) of the creation Cg (step S14). The generation AI learning unit 12 saves the generation AI that has learned the creation Cg (step S15). That is, the generation AI learning unit 12 stores information for constructing the generation AI in the generation AI storage unit 13. The data generation unit 21 refers to the generation AI storage unit 13 and reads out information for constructing the generation AI (step S16). The user U notifies the data generation unit 21 of the prompt (step S17). The user operates the user terminal to display a screen (generation screen) for generating a product Mg in the generation app on the user terminal. The generation screen has, for example, an input field for inputting a prompt and a send button. The user U inputs a character string indicating the product Mg that the user wants generated by the generation service into the input field and taps the send button. As a result, text information indicating the prompt is transmitted from the user terminal to the service providing device 20. The service providing device 20 receives text information indicating a prompt from the user terminal and outputs the received text information to the data generating unit 21. The data generating unit 21 inputs the prompt notified by the user U to the generation AI and causes the generation AI to generate a product Mg in accordance with the prompt. The data generating unit 21 outputs the generated data by transmitting information indicating the product Mg generated by the generation AI to the user terminal (step S18). User U pays the usage fee (step S19). The user operates the user terminal to pay the usage fee for the generation service. As a result, information indicating the payment of the usage fee is sent from the user terminal to reward payment device 30. Reward payment device 30 receives the information indicating the payment of the usage fee from the user terminal and outputs the received information to contribution calculation unit 32. As a result, contribution calculation unit 32 receives the usage fee.

[0039] 4 mainly shows the flow of a series of processes up to when a fee is paid to creator C. The processes shown in steps S17 to S19 in FIG. 4 are the same as the processes shown in steps S17 to S19 in FIG.

[0040] When the data generation unit 21 causes the generation AI to generate a product Mg in response to the prompt, the data generation unit 21 transmits information (generation data) indicating the product Mg generated by the generation AI to the contribution calculation unit 32 (step S20). Meanwhile, the creation storage unit 11 transmits information (creation data) indicating the creation Cg to the contribution calculation unit 32 (step S21). For example, the contribution calculation unit 32 refers to the creation storage unit 11, requests acquisition of information (creation data) indicating the creation Cg, and reads out the information (creation data) indicating the creation Cg from the creation storage unit 11. The contribution degree calculation unit 32 calculates the contribution degree (step S22). For example, the contribution degree calculation unit 32 uses an influence function as XAI to calculate the degree of influence that the learning data learned by the generation AI (here, creative work data as information indicating the creative work Cg) has had on the generation of the product Mg as the contribution degree. The contribution degree calculation unit 32 calculates the contribution degree for each creative work Cg stored in the creative work storage unit 11. The contribution degree calculation unit 32 outputs the calculated contribution degree to the remuneration payment unit 31 (step S23). The remuneration payment unit 31 pays the creator C a remuneration according to the degree of contribution (step S24). For example, the remuneration payment unit 31 determines the remuneration to be paid to the creator C who created the creative work Cg as the amount obtained by subtracting a predetermined fee from the usage fee paid by the user U (refund amount) and multiplying the amount by a rate according to the degree of contribution of the creative work Cg.

[0041] As described above, the information processing system 1 of the embodiment includes a creation storage unit 11 (an example of a storage unit), a data generation unit 21, a contribution calculation unit 32, and a remuneration payment unit 31 (an example of a remuneration calculation unit). The creation storage unit 11 stores creation information that associates creations Cg with creators C (an example of a creator). The data generation unit 21 generates a product Mg using a generation AI that has learned the creations Cg stored in the creation storage unit 11. The contribution calculation unit 32 calculates the contribution of the creations Dg stored in the creation storage unit 11 in the generation of the product Mg by the generation AI. The remuneration payment unit 31 calculates remuneration information indicating the remuneration to be granted to the creator C who created the creation Cg corresponding to the contribution degree, based on the contribution degree calculated by the contribution calculation unit 32. As a result, in the information processing system 1 of the embodiment, in response to providing a product Mg to a user U, a reward can be paid to the creator C according to the degree of contribution that the creative work Cg made to its creation, allowing the creator and the user of the generation AI to benefit from each other.

[0042] Furthermore, in the information processing system 1 of the embodiment, the contribution calculation unit 32 calculates the reward information by multiplying the return amount according to the profit obtained by the generation AI generating the product Mg by a rate according to the contribution. As a result, in the information processing system 1 of the embodiment, the profit obtained by generating the product Mg can be paid to the creator C according to the contribution to its generation. Since the profit obtained from the generation of the product Mg, such as a usage fee, can be returned to the creator C, the system can be operated stably. Therefore, the creator C can continue his creative activities, and a situation in which culture is shrunk can be prevented.

[0043] Furthermore, in the information processing system 1 of the embodiment, the reward information may include attribute information indicating the tag (attribute) of the creation Cg. The information processing system 1 further includes a generation AI learning unit 12. The generation AI learning unit 12 treats the creation Cg stored in the creation storage unit 11 as a learning creation, and causes the generation AI to learn the correspondence between the learning creation and the attribute information of the learning creation. In this way, in the information processing system 1 of the embodiment, it is possible to cause the generation AI to learn the correspondence between the creation Cg created by the creator and its attribute. By training the generation AI to generate a product Mg based on the learned creation Cg, it is possible to ensure that the creation Cg contributes to the generation of the product Mg, and thus a reward is paid to the creator C.

[0044] Furthermore, in the information processing system 1 of the embodiment, the data generation unit 21 generates the product Mg by inputting a prompt corresponding to the attribute information of the learning creation into the generative AI model. As a result, in the information processing system 1 of the embodiment, the prompt indicating the attribute of the learning creation is set as the attribute of the product Mg, making it possible for the creation Cg to more easily contribute to the generation of the product Mg.

[0045] Furthermore, in the information processing system 1 of the embodiment, the creation storage unit 11 stores at least one of an image, sound, and text created by a creator C as a creation Cg. As a result, the information processing system 1 of the embodiment can provide a product that uses the image, sound, and text created by the creator C, and can also pay a fee to the creator C for the creation.

[0046] All or part of the information processing system 1 in the above-described embodiment may be implemented by a computer. In this case, a program for implementing the functions may be recorded on a computer-readable recording medium, and the program may be loaded into a computer system and executed. Note that the term "computer system" as used herein includes hardware such as an OS and peripheral devices. Furthermore, the term "computer-readable recording medium" refers to portable media such as flexible disks, optical magnetic disks, ROMs, and CD-ROMs, as well as storage devices such as hard disks built into a computer system. Furthermore, the term "computer-readable recording medium" may also include devices that dynamically store programs for a short period of time, such as communication lines used when transmitting programs via networks such as the Internet or telephone lines, or devices that store programs for a fixed period of time, such as volatile memory within a computer system that serves as a server or client. The program may be designed to implement some of the functions described above, or may be capable of implementing the functions in combination with a program already stored in the computer system, or may be implemented using a programmable logic device such as an FPGA.

[0047] Although an embodiment of the present invention has been described in detail above with reference to the drawings, the specific configuration is not limited to this embodiment, and includes designs within the scope of the gist of the present invention. [Explanation of symbols]

[0048] 1. Information processing system 10…Generation AI creation device 11…Creation memory department 12...Generative AI learning section 20...Service providing device 21...Data generation unit 22...Usage fee collection department 30...Reward payment device 31...Remuneration Payment Department (Remuneration Calculation Department) 32...Contribution calculation section

Claims

1. a storage unit that stores creative work information that associates creative works with creators; a data generation unit that generates a product using a generation AI that has learned the creation stored in the storage unit; a contribution calculation unit that calculates the contribution of the creative work stored in the storage unit in the generation of the product by the generation AI; a remuneration calculation unit that calculates, based on the degree of contribution calculated by the contribution calculation unit, remuneration information indicating a remuneration to be granted to a creator who created a creative work corresponding to the degree of contribution; An information processing system comprising:

2. The remuneration calculation unit calculates, as the remuneration information, a multiplied value obtained by multiplying a return amount according to the profit obtained by the generation AI generating the product by a rate according to the contribution degree. The information processing system according to claim 1 .

3. The creation stored in the storage unit is used as a learning creation, and a generation AI learning unit is further provided for causing the generation AI to learn a correspondence relationship between the learning creation and attribute information of the learning creation. The information processing system according to claim 1 .

4. The data generation unit generates the product by inputting a prompt corresponding to attribute information of the learning creation into the generation AI model. The information processing system according to claim 3 .

5. the storage unit stores at least one of an image, a sound, and a text created by a creator as a creation; The information processing system according to claim 1 .

6. An information processing method performed by a computer, comprising: a storage unit stores creative work information that associates creative works with creators; The data generation unit generates a product using a generation AI that has learned the creation stored in the storage unit, A contribution calculation unit calculates a contribution of the creative work stored in the storage unit to the generation of the product by the generation AI, a remuneration calculation unit calculates remuneration information indicating a remuneration to be granted to a creator who created a creative work corresponding to the degree of contribution, based on the degree of contribution calculated by the degree of contribution calculation unit; Information processing methods.

7. On the computer, storing creative work information that associates creative works with creators; generating a product using a generation AI that has learned the stored creation; Calculating the contribution of the stored creation in the generation of the product by the generation AI; calculating, based on the degree of contribution, reward information indicating a reward to be given to a creator who created a creative work corresponding to the degree of contribution; program.

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