JP7471602B2 - Information processing device and information processing method - Google Patents

Description

Article 30, paragraph 2 of the Patent Act applied. The contents of the information processing device were explained to the client using materials. (Materials were distributed on August 25, 2020, November 3, 2020, December 1, 2020, December 4, 2020, December 7, 2020, December 8, 2020, and December 18, 2020.)

The present invention relates to an information processing device and an information processing method that use an artificial intelligence model.

Conventionally, a technology is known for creating an artificial intelligence model that executes a desired process by performing deep learning using a training data set (see, for example, Patent Document 1).

JP 2020-61088 A

When creating an AI model using conventional technology, if the learning dataset used for deep learning is equivalent, an AI model that performs equivalently will be created. In this case, a problem has arisen in that it is difficult for a user using an AI model to differentiate it from other users using an equivalent AI model.

The present invention has been made in consideration of these points, and aims to provide an information processing device and information processing method that can provide a customized artificial intelligence model to a user who uses the artificial intelligence model.

The information processing device of the first aspect of the present invention has an information acquisition unit that acquires selection information for identifying multiple selected models selected from multiple artificial intelligence models each having different processing content, a creation unit that creates an artificial intelligence model set including the multiple selected models corresponding to the selection information, and a data output unit that outputs the artificial intelligence model set.

The information acquisition unit may present the plurality of artificial intelligence models to an external device in association with feature information indicating the features of each of the plurality of artificial intelligence models, and may acquire the selection information from the external device after presenting the feature information to the external device.

The information acquisition unit may further acquire the intended use of the artificial intelligence model set from the external device, and present the multiple artificial intelligence models selected from multiple artificial intelligence model candidates based on the intended use to the external device.

Before presenting the plurality of artificial intelligence models to the external device, the information acquisition unit may present a plurality of candidate usage purposes to the external device, which are candidates for the intended usage purposes, and acquire one or more of the intended usage purposes selected from the plurality of candidate usage purposes.

The information acquisition unit may present the multiple potential usage purposes to the external device when a request to change one or more of the artificial intelligence models included in the artificial intelligence model set is received from the external device.

The information acquisition unit may present the multiple artificial intelligence models to the external device in association with multiple pieces of characteristic information that differ in at least one of the following: industry of the companies for which credit risk is to be identified, sales range of the companies for which credit risk is to be identified, size of the companies for which credit risk is to be identified, or location range of the companies for which credit risk is to be identified.

The information acquisition unit may present the multiple artificial intelligence models to the external device in association with multiple pieces of characteristic information that differ in at least one of the types of financial assets to be invested in, the terms of buying and selling of the financial assets to be invested in, or the investment objectives.

The creation unit may determine a fee for using the artificial intelligence model set based on the multiple selected models indicated by the selection information.

The creation unit may determine a fee for using the artificial intelligence model set by adding up the unit prices of each of the multiple selected models.

The information processing method of the second aspect of the present invention includes a step of acquiring selection information for identifying multiple selected models selected from multiple artificial intelligence models each having different processing content, executed by a computer, a step of creating an artificial intelligence model set including the multiple selected models corresponding to the selection information, and a step of outputting the artificial intelligence model set.

The present invention has the effect of providing a customized artificial intelligence model to a user who uses the artificial intelligence model.

FIG. 1 is a diagram illustrating a configuration of an information processing system. A conceptual diagram showing the relationship between an artificial intelligence model and an artificial intelligence model set. FIG. 1 is a diagram illustrating a configuration of an information processing device. FIG. 2 is a diagram showing an example of a feature table showing features of an artificial intelligence model. This is a screen for selecting the purpose of use. 13 is an example of a screen displayed on a customer terminal after a purpose of use is selected. 13 is an example of a screen displayed on a customer terminal after "industry type" is selected. 4 is a flowchart showing a flow of processing executed by the information processing device.

[Overview of Information Processing System S]
1 is a diagram showing the configuration of an information processing system S. The information processing system S includes an information processing device 1 and multiple customer terminals 2 (customer terminals 2-1 to 2-n, n is an integer equal to or greater than 2). The information processing device 1 and the multiple customer terminals 2 are connected to a network N such as the Internet or a public communication network.

The information processing device 1 is a device for providing a customer with an artificial intelligence (AI) model set customized to the customer's needs, and is, for example, a computer. The information processing device 1 may be configured with one computer or multiple computers.

The artificial intelligence model set is composed of multiple artificial intelligence models in which rules or formulas, etc. are described for outputting output data based on input data through machine learning. The information processing device 1 inputs data into each of the multiple artificial intelligence models and executes calculation processing based on the rules or formulas, etc. of the artificial intelligence models, so that the information processing device 1 can calculate multiple output data corresponding to the input data. The information processing device 1 provides the customer terminal 2 with one or more output data calculated by inputting multiple pieces of input data acquired from the customer terminal 2 into artificial intelligence models suitable for processing each piece of input data.

The information processing device 1 can use a number of artificial intelligence models, each with different functions, and configures an artificial intelligence model set including one or more artificial intelligence models selected from the number of artificial intelligence models in response to a request from a customer using the customer terminal 2. When the information processing device 1 receives input data from the customer terminal 2, it provides the customer terminal 2 with the results of calculations performed using the artificial intelligence model set corresponding to the customer of the customer terminal 2.

Figure 2 is a conceptual diagram showing the relationship between artificial intelligence models and artificial intelligence model sets. In Figure 2, AI models a to i are shown, but the number of artificial intelligence models that the information processing device 1 has is arbitrary. AI model set α includes AI models a, d, and f, and is used for company A. AI model set β includes AI models b, e, f, and i, and is used for company B.

The multiple artificial intelligence models differ in at least one of the machine learning method (e.g., reinforcement learning, supervised learning, etc.), the content of the input data, or the content of the output data. The multiple artificial intelligence models are configured to output different data even when the same data is input, for example, due to the different machine learning methods.

For example, if the multiple artificial intelligence models are models that output data indicating the degree of credit risk of a company based on input data, the multiple artificial intelligence models correspond to processes that differ in at least one of the following: the industry of the company for which credit risk is to be identified, the range of sales revenue of the company for which credit risk is to be identified, the size of the company for which credit risk is to be identified, or the range of locations of the company for which credit risk is to be identified. For example, if the multiple artificial intelligence models are models that output data to support investment in financial assets based on input data, the multiple artificial intelligence models correspond to processes that differ in at least one of the type of financial asset to be invested in, the buying and selling conditions of the financial asset to be invested in, or the purpose of the investment.

An artificial intelligence model set is characterized by a combination of multiple artificial intelligence models that make up the artificial intelligence model set. In the example shown in FIG. 2, if the AI model set α is intended to identify the credit risk of small and medium-sized enterprises that manufacture and sell daily necessities, the AI model set α includes an AI model a that is suitable for analyzing companies that manufacture and sell daily necessities, and an AI model d that is suitable for analyzing small and medium-sized enterprises. If the AI model set β is intended to identify the credit risk of large companies that provide communication services, the AI model set β includes an AI model b that is suitable for analyzing companies that provide communication services, and an AI model e that is suitable for analyzing large companies.

The purpose of use of the artificial intelligence model set is arbitrary and can be applied to various fields in which artificial intelligence is used. The purpose of use of the artificial intelligence model set is, for example, risk management such as management of corporate credit risk, management of equipment failure risk, or management of the risk of human resource trouble, or investment management such as management of investment in financial assets, management of equipment investment, or management of investment in companies.

The information processing device 1 provides information indicating the characteristics of each of the multiple artificial intelligence models to multiple customer terminals 2, and a customer who wishes to use an artificial intelligence model set transmits selection information for using one or more artificial intelligence models that he or she wishes to use to the information processing device 1 via the customer terminal 2. When the information processing device 1 receives the selection information, it creates an artificial intelligence model set for the customer who transmitted the selection information. After that, when the information processing device 1 receives input data from the customer terminal 2, it inputs the received input data into the artificial intelligence model set for the customer, and provides output data output from the artificial intelligence model set to the customer terminal 2.

As described above, the information processing device 1 selects one or more artificial intelligence model sets from a plurality of artificial intelligence models so as to provide the customer with the optimal artificial intelligence model set depending on the intended use of the data output from the artificial intelligence model set. Therefore, according to the information processing device 1, a customer who uses an artificial intelligence model set can use the artificial intelligence model set that is optimal for the customer, and the probability that competitors will use the same artificial intelligence model set can be reduced, making it possible to effectively utilize the artificial intelligence model to achieve the purpose while differentiating from competitors.

[Configuration of information processing device 1]
3 is a diagram showing the configuration of the information processing device 1. The information processing device 1 has a communication unit 11, a storage unit 12, an artificial intelligence processing unit 13, and a control unit 14. The artificial intelligence processing unit 13 has an artificial intelligence model group 131 and an output unit 132. The control unit 14 has an information acquisition unit 141, a creation unit 142, a data acquisition unit 143, and a data output unit 144. The information processing device 1 may have all of its components in a single device, or may have them distributed across multiple devices.

The communication unit 11 has a communication interface for transmitting and receiving data to and from multiple customer terminals 2 via the network N. The communication unit 11 inputs the selection information received from the customer terminal 2 to the information acquisition unit 141. The communication unit 11 also inputs the input data received from the customer terminal 2 to the data acquisition unit 143. Furthermore, the communication unit 11 transmits the output data input from the data output unit 144 to the customer terminal 2.

The storage unit 12 includes storage media such as a ROM (Read Only Memory), a RAM (Random Access Memory), and a hard disk. The storage unit 12 stores programs executed by the control unit 14. The storage unit 12 also stores various information associated with a customer using the customer terminal 2, including information for identifying the artificial intelligence model selected by the customer.

The storage unit 12 also stores a feature table including feature information indicating the features of each of the multiple artificial intelligence models in association with each of the multiple artificial intelligence models. The feature information is used to enable a customer who wishes to use an artificial intelligence model set to select one or more artificial intelligence models to be used by the customer. The feature information is, for example, information indicating the purpose of the artificial intelligence model, information indicating the type of data used as input data to the artificial intelligence model, information indicating the type of data output by the artificial intelligence model, or information indicating the frequency with which the artificial intelligence model outputs data.

Figure 4 is a diagram showing an example of a feature table showing the features of an artificial intelligence model. In the feature table, the name of the artificial intelligence model is associated with the features of each artificial intelligence model. In Figure 4, the features of companies that the artificial intelligence model is good at analyzing are shown, but the content of the features is not limited to this and can be arbitrary.

In the case of an artificial intelligence model that can be used to estimate credit risk, the characteristic information is, for example, the industry of the company for which credit risk is to be identified, the range of sales of the company for which credit risk is to be identified, the size of the company for which credit risk is to be identified, or the range of locations of the company for which credit risk is to be identified. In the case of an artificial intelligence model that can be used to support investment in financial assets, the characteristic information is, for example, the type of financial asset to be invested in, the terms of purchase and sale of the financial asset to be invested in, or the purpose of the investment.

The artificial intelligence processing unit 13 executes processing using the artificial intelligence model set. In the example shown in FIG. 3, the information processing device 1 has multiple artificial intelligence processing units 13 (artificial intelligence processing units 13-1, 13-2, ...) corresponding to multiple customers, respectively, but the number of artificial intelligence processing units 13 that the information processing device 1 has is arbitrary. The artificial intelligence processing unit 13 has, for example, a processor and memory, and executes calculation processing based on rules or formulas defined for each of the multiple artificial intelligence models.

The artificial intelligence model group 131 selects one or more artificial intelligence models to be used from among the multiple artificial intelligence models stored in memory based on the selection information input from the creation unit 142. The artificial intelligence model group 131 inputs data output by each of the selected one or more artificial intelligence models to the output unit 132. Figure 3 shows a case in which, of the multiple artificial intelligence models held by the artificial intelligence model group 131, models M-a and M-d are used, and models M-b and M-c are not used.

The output unit 132 outputs the results of processing performed by the artificial intelligence model group 131 as output data. The output unit 132 may directly output one or more pieces of data output by one or more artificial intelligence models, or may output data obtained by performing a calculation based on one or more pieces of data. The data output by the output unit 132 is input to the data output unit 144.

The control unit 14 has, for example, a CPU (Central Processing Unit). The control unit 14 executes the programs stored in the storage unit 12, thereby functioning as an information acquisition unit 141, a creation unit 142, a data acquisition unit 143, and a data output unit 144.

The information acquisition unit 141 acquires various information from the customer terminal 2 via the communication unit 11. The information acquisition unit 141 acquires, for example, selection information received by the communication unit 11 from the customer terminal 2. As described above, the selection information is information for identifying multiple selection models selected by the customer from multiple artificial intelligence models each having different processing content. The selection information is, for example, information including a model ID, which is identification information for identifying multiple selection models. The information acquisition unit 141 inputs the acquired selection information to the creation unit 142.

The information acquisition unit 141, for example, presents a plurality of artificial intelligence models to a customer terminal 2, which is an example of an external device, in association with feature information, and after presenting the feature information to the customer terminal 2, acquires selection information from the customer terminal 2. By presenting the feature information to the customer terminal 2 in this manner, the information acquisition unit 141 makes it easier for a customer using the customer terminal 2 to select an artificial intelligence model, but the information acquisition unit 141 may acquire the selection information without presenting the feature information to the customer terminal 2.

Before presenting the multiple artificial intelligence models to the customer terminal 2, the information acquisition unit 141 may further acquire the intended use of the artificial intelligence model set from the customer terminal 2, and present the multiple artificial intelligence models selected from the multiple artificial intelligence model candidates based on the intended use to the customer terminal 2. For example, before presenting the multiple artificial intelligence models to the customer terminal 2, the information acquisition unit 141 presents multiple intended use candidates, which are candidates for the intended use, to the customer terminal 2, and acquires one or more intended uses selected from the multiple intended use candidates.

When the purpose of using the artificial intelligence model set is to investigate the credit risk of a company, the information acquisition unit 141 presents multiple artificial intelligence models to the customer terminal 2 in association with multiple pieces of characteristic information that differ in at least one of the following: the industry of the company for which credit risk is to be identified, the sales range of the company for which credit risk is to be identified, the size of the company for which credit risk is to be identified, or the location range of the company for which credit risk is to be identified.

When the purpose of use of the artificial intelligence model set is investment in financial assets, the information acquisition unit 141 presents to the external device a plurality of artificial intelligence models in association with a plurality of pieces of characteristic information that differ in at least one of the types of financial assets to be invested in, the buying and selling conditions of the financial assets to be invested in, or the purpose of the investment. By presenting characteristic information corresponding to the purpose of use in this way, the information acquisition unit 141 makes it easier for the customer to select an artificial intelligence model that is suitable for the purpose of use.

Figures 5 to 7 are diagrams showing examples of screens that the information acquisition unit 141 presents to the customer terminal 2 to enable the customer to select an artificial intelligence model. Figure 5 is a screen for selecting the intended use. Figure 5 shows multiple things that can be achieved (i.e., intended uses) using the artificial intelligence model set that the information processing device 1 can provide. The customer can determine the intended use by selecting the desired intended use from the multiple intended uses displayed and pressing "Determine."

Figure 6 is an example of a screen displayed on the customer terminal 2 after the intended use is selected. Figure 6 shows multiple attributes for determining the characteristics of the artificial intelligence model set used by the customer, and when the customer selects an attribute, the screen of Figure 7 is displayed. Figure 6(a) is a screen displayed when "I want to investigate the credit risk of a company" is selected as the intended use on the screen shown in Figure 5, and "industry type," "sales," "size," and "location" are shown as attributes related to the selection of an artificial intelligence model. Figure 6(b) is a screen displayed when "I want to invest in financial assets" is selected as the intended use on the screen shown in Figure 5, and "type of financial assets," "terms of sale," "purpose of investment," and "acceptable risk" are shown as attributes related to the selection of an artificial intelligence model.

Figure 7 is an example of a screen displayed on the customer terminal 2 after "Industry" is selected on the screen of Figure 6 (a). In Figure 7, multiple industries for which each artificial intelligence model is suitable are shown along with the artificial intelligence model name. When "Confirm" is pressed after one or more industries are selected from the multiple industries, the customer terminal 2 transmits information indicating the selected industry or the artificial intelligence model name as one piece of selection information to the information processing device 1, and returns to the screen of Figure 6 (a). The customer terminal 2 repeats this process and transmits selection information to the information processing device 1 indicating the artificial intelligence model selected for each attribute such as "Industry", "Sales", "Scale", and "Location".

Returning to FIG. 3, the configuration and operation of each of the other parts of the control unit 14 that operate after the information acquisition unit 141 acquires the selection information will be described. The creation unit 142 creates an artificial intelligence model set including a plurality of selection models corresponding to the selection information notified from the information acquisition unit 141. The creation unit 142 constructs an artificial intelligence processing unit 13, for example, in association with a customer ID for identifying the customer. In the example shown in FIG. 3, the creation unit 142 creates an artificial intelligence processing unit 13-1 for a customer who selected artificial intelligence model Ma and artificial intelligence model M-d. The creation unit 142 may create an artificial intelligence model set by storing the name of the artificial intelligence model selected by the customer in the memory unit 12.

The creation unit 142 may determine a fee for using the artificial intelligence model set based on the multiple selected models indicated by the selection information. The creation unit 142 determines the fee for the artificial intelligence model set, for example, by adding up the unit prices of the multiple artificial intelligence models (multiple selected models) that make up the artificial intelligence model set. The unit price of the artificial intelligence model is determined, for example, based on the number of data items input to the artificial intelligence model, the number of data items output by the artificial intelligence model, or the time required for the information processing device 1 to execute processing using the artificial intelligence model.

After the creation unit 142 creates an artificial intelligence model set, the data acquisition unit 143 acquires multiple pieces of input data to be input to the artificial intelligence model set, and inputs the acquired multiple pieces of input data into the artificial intelligence model set. The data acquisition unit 143 acquires input data from, for example, the customer terminal 2, but may also acquire input data from another terminal used by the customer.

The data acquisition unit 143 inputs input data to an artificial intelligence model group 131 owned by an artificial intelligence processing unit 13, among the multiple artificial intelligence processing units 13, that corresponds to the customer using the customer terminal 2 that transmitted the multiple acquired input data. The data acquisition unit 143 inputs the multiple input data to, for example, an artificial intelligence model set, among the multiple artificial intelligence model sets, that corresponds to the customer using the customer terminal 2 that transmitted the multiple acquired input data. At this time, the data acquisition unit 143 selects one or more input data to be used by each of the multiple selection models from the multiple acquired input data, and inputs the selected one or more input data to each of the multiple selection models.

Specifically, the input data includes type information indicating the type of input data, and the data acquisition unit 143 identifies the type of input data based on the type information and inputs the input data to the artificial intelligence model stored in the storage unit 12 in association with the type. The type of input data is represented by differences in the nature of the data, such as sales data, employee number data, or address data. For example, the data acquisition unit 143 inputs sales data to an artificial intelligence model that uses sales data, and inputs employee number data to an artificial intelligence model that uses employee number data. In this way, the data acquisition unit 143 automatically selects the artificial intelligence model to which the input data is input according to the type of input data, so that a customer using an artificial intelligence model set does not need to create input data separately for each artificial intelligence model.

The data output unit 144 outputs the output data output by the artificial intelligence model set to which the input data has been input. Specifically, the data output unit 144 transmits the data input from the output unit 132 as output data to the customer terminal 2 via the communication unit 11. The customer terminal 2 displays the received output data.

If a customer using the customer terminal 2 is not satisfied with the contents of the output data after viewing the displayed output data, the customer may change the selected artificial intelligence model. When the information acquisition unit 141 receives a request from the customer terminal 2 to change one or more artificial intelligence models included in the artificial intelligence model set, the information acquisition unit 141 displays the screens shown in Figures 6 and 7 on the customer terminal 2 to acquire new selection information, and the creation unit 142 creates an artificial intelligence model set consisting of the newly selected artificial intelligence models. The customer can complete the desired artificial intelligence model set by repeating this process.

Figure 8 is a flowchart showing the flow of processing executed by the information processing device 1. Figure 8 begins at the point when a customer who wishes to use an artificial intelligence model set performs an operation to create an artificial intelligence model set on the customer terminal 2.

First, the information acquisition unit 141 presents candidate intended uses to the customer terminal 2, as shown in FIG. 5 (S11). The information acquisition unit 141 acquires information indicating the intended use selected by the customer on the customer terminal 2 (S12). Next, the information acquisition unit 141 presents to the customer terminal 2 the names of multiple artificial intelligence models selected based on the intended use, together with their respective features, as shown in FIG. 6 and FIG. 7 (S13). The information acquisition unit 141 acquires selection information indicating the artificial intelligence model selected by the customer (S14).

Next, the creation unit 142 creates an artificial intelligence model set based on the selection information acquired by the information acquisition unit 141 (S15). Then, the creation unit 142 stores in the memory unit 12 one or more artificial intelligence model names that constitute the customer's artificial intelligence model set in association with the customer ID (S16).

After the artificial intelligence model set is created, the data acquisition unit 143 acquires input data from the customer (S17) and inputs the acquired input data to the artificial intelligence processing unit 13 (S18). The data output unit 144 outputs the output data output by the artificial intelligence processing unit 13 so that the customer can check it (S19).

After that, when the information acquisition unit 141 acquires a model change instruction to change the artificial intelligence model set from the customer terminal 2, the information processing device 1 updates the artificial intelligence model set by re-executing the processing from S13 onwards.

[Artificial intelligence model upgrade (update)]
The information processing device 1 may update the artificial intelligence model at any timing. When the information processing device 1 updates the artificial intelligence model, the artificial intelligence model set including the updated artificial intelligence model is also updated in conjunction with the update. In this way, since the artificial intelligence model set is composed of multiple artificial intelligence models, when it is necessary to update part of the artificial intelligence model set, it is sufficient to update the artificial intelligence model to be updated without updating each of the artificial intelligence model sets. Therefore, it is possible to suppress the cost required for upgrading the artificial intelligence model set.

Note that some customers may not want to upgrade their artificial intelligence models. Therefore, when the information processing device 1 (e.g., the information acquisition unit 141) updates an artificial intelligence model, it may notify customers who are using an artificial intelligence model set that includes the updated artificial intelligence model of the name of the updated artificial intelligence model and the update contents, and may accept an instruction to update the artificial intelligence model set. The information processing device 1 may also accept an instruction to update some of the multiple updated artificial intelligence models. By operating in this manner, the information processing device 1 can update the artificial intelligence model after the customer determines the necessity.

[Effects of information processing device 1]
As described above, the information processing device 1 includes an information acquisition unit 141 that acquires selection information for identifying a plurality of selected models selected from a plurality of artificial intelligence models each having different processing contents, and a creation unit 142 that creates an artificial intelligence model set including a plurality of selected models corresponding to the selection information. With the information processing device 1 configured in this way, a customer who wishes to perform various analyses using an artificial intelligence model set can use an artificial intelligence model set customized based on his or her own needs.

When a large number of artificial intelligence models that make up an artificial intelligence model set are prepared for each attribute, the information processing device 1 can create a very large variety of artificial intelligence model sets. For example, when there are 10 types of artificial intelligence models for each of five attributes, the information processing device 1 can create 100,000 patterns of artificial intelligence model sets. Therefore, the probability that an artificial intelligence model set for one customer will match an artificial intelligence model set for another customer is low, and customers can differentiate themselves from competitors by how they select their artificial intelligence models.

Furthermore, conventionally, when creating a customized artificial intelligence model, it was necessary to carry out a proof of concept (POC) to confirm whether the desired artificial intelligence model was completed, and then to carry out a demonstration experiment in which the artificial intelligence model was operated in parallel with an existing system to confirm whether it could withstand use in a real environment. There was an issue that carrying out this POC and demonstration experiment required a long period of time and high costs.

In contrast, when using the information processing device 1, there is no need to create a new artificial intelligence model for each customer in order to provide a different artificial intelligence model set for each customer. Therefore, the time required for POC to be performed when creating or updating an artificial intelligence model can be significantly reduced, and the information processing device 1 can reduce the cost of using an artificial intelligence model.

In the above explanation, an example has been given of a case in which the information processing device 1 does not output the created artificial intelligence model set to the outside, but instead outputs data output from the artificial intelligence model set to the outside. However, the information processing device 1 may also output to the outside a program that functions as the created artificial intelligence model set. The data output unit 144 of the information processing device 1 outputs to the outside the artificial intelligence model set created by the creation unit 142 via the communication unit 11. This allows the customer to use the artificial intelligence model by having the customer's computer execute a program that functions as the artificial intelligence model set.

Although the present invention has been described above using embodiments, the technical scope of the present invention is not limited to the scope described in the above embodiments, and various modifications and changes are possible within the scope of the gist of the invention. For example, all or part of the device can be configured by distributing or integrating functionally or physically in any unit. In addition, new embodiments resulting from any combination of multiple embodiments are also included in the embodiments of the present invention. The effect of the new embodiment resulting from the combination also has the effect of the original embodiment.

Reference Signs List 1 Information processing device 2 Customer terminal 11 Communication unit 12 Storage unit 13 Artificial intelligence processing unit 14 Control unit 131 Artificial intelligence model group 132 Output unit 141 Information acquisition unit 142 Creation unit 143 Data acquisition unit 144 Data output unit

Claims (9)

an information acquisition unit that acquires selection information for identifying a plurality of selected models selected from a plurality of artificial intelligence models each having different processing contents;
A creation unit that creates an artificial intelligence model set including the plurality of selection models corresponding to the selection information;
A data output unit that outputs the artificial intelligence model set;
having
when the information acquisition unit receives a request from an external device to change one or more of the artificial intelligence models included in the artificial intelligence model set after the data output unit outputs the artificial intelligence model set, the information acquisition unit presents to the external device a plurality of intended use candidates that are candidates for intended use of the artificial intelligence model set, acquires one or more of the intended uses selected from the plurality of intended use candidates, and presents to the external device one or more artificial intelligence models selected from the plurality of artificial intelligence models based on the acquired intended use.
Information processing device. When the information acquisition unit acquires new selection information indicating an artificial intelligence model selected by a user of the external device after presenting the one or more artificial intelligence models to the external device, the creation unit creates a new artificial intelligence model set consisting of the newly selected artificial intelligence model.
The information processing device according to claim 1 . the information acquisition unit presents the plurality of artificial intelligence models to an external device in association with feature information indicating features of each of the plurality of artificial intelligence models, and acquires the selection information from the external device after presenting the feature information to the external device.
3. The information processing device according to claim 1 or 2 . the information acquisition unit presents the plurality of artificial intelligence models to the external device in association with a plurality of pieces of characteristic information that differ in at least one of the following: industry of the company whose credit risk is to be identified, range of sales of the company whose credit risk is to be identified, size of the company whose credit risk is to be identified, or range of location of the company whose credit risk is to be identified;
The information processing device according to claim 3 . The information acquisition unit presents the plurality of artificial intelligence models to the external device in association with a plurality of pieces of characteristic information that differ in at least one of the types of financial assets to be invested in, the trading conditions of the financial assets to be invested in, and the investment purpose.
5. The information processing device according to claim 3 . The creation unit determines a fee for using the artificial intelligence model set based on the plurality of selected models indicated by the selection information.
The information processing device according to claim 1 . The creation unit determines a fee for using the artificial intelligence model set by adding up the unit prices of each of the plurality of selected models.
The information processing device according to claim 6 . The computer executes
acquiring selection information for identifying a plurality of selected models selected from a plurality of artificial intelligence models each having different processing contents;
creating an artificial intelligence model set including the plurality of selection models corresponding to the selection information;
outputting the artificial intelligence model set;
a step of presenting a plurality of candidate usage purposes, which are candidates for the usage purposes of the artificial intelligence model set, to the external device when a request to change one or more of the artificial intelligence models included in the artificial intelligence model set is received from an external device after outputting the artificial intelligence model set;
acquiring one or more intended purposes selected from the plurality of intended purposes candidates;
presenting to the external device one or more artificial intelligence models selected from the plurality of artificial intelligence models based on the acquired intended use;
An information processing method comprising the steps of: The method further includes a step of creating a new set of artificial intelligence models consisting of the newly selected artificial intelligence models when new selection information indicating an artificial intelligence model selected by a user of the external device is acquired after the one or more artificial intelligence models are presented to the external device.
The information processing method according to claim 8.

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