Information processing system, information processing method, and program

Abstract

We provide an information processing system that appropriately calculates the contribution of generative AI to staff work. [Solution] The information processing system 10 has a performance data acquisition unit 110, a log data acquisition unit 120, a contribution calculation unit 130, and an output unit 140. The performance data acquisition unit 110 acquires performance data of work performed by staff using generative artificial intelligence via a staff terminal. The log data acquisition unit 120 acquires log data related to the use of generative artificial intelligence in the work of the staff. The contribution calculation unit 130 calculates the contribution of the generative artificial intelligence to the work performed by the staff based on the performance data and the log data. The output unit 140 outputs the contribution to work for a specified period to a manager terminal used by the staff's manager.

Description

[Technical Field]

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

[0002] 2. Description of the Related Art As a means for improving business efficiency in companies, techniques for improving the skills of staff who perform business operations have been proposed.

[0003] For example, the system described in Patent Document 1 improves the efficiency of the temporary staffing business by conducting certification tests based on the skill level of each job type, reflecting the results in a database, and having superiors or external instructors educate subordinates based on an educational curriculum. [Prior art documents] [Patent documents]

[0004] [Patent Document 1] Japanese Patent Application Laid-Open No. 2005-190341 Summary of the Invention [Problem to be solved by the invention]

[0005] In relation to the above-mentioned technology, in recent years, the introduction of generative AI (Artificial Intelligence) has been progressing to improve staff work efficiency. The use of generative AI often improves staff work efficiency. However, there are cases where staff do not have a clear motivation to use generative AI. Therefore, it is a challenge to appeal to staff to use generative AI in a suitable way.

[0006] In view of the above-mentioned problems, the present disclosure aims to provide an information processing system etc. that suitably calculates the contribution of a generation AI to staff work. [Means for solving the problem]

[0007] The information processing system according to the present disclosure includes a performance data acquisition unit, a log data acquisition unit, a contribution calculation unit, and an output unit. The performance data acquisition unit acquires performance data of work performed by staff using generative artificial intelligence via a staff terminal. The log data acquisition unit acquires log data related to the use of generative artificial intelligence in the work of the staff. The contribution calculation unit calculates the contribution of the generative artificial intelligence to the work performed by the staff based on the performance data and the log data. The output unit outputs the contribution to work for a specified period to an administrator terminal used by the staff's manager.

[0008] The information processing method according to the present disclosure is executed by a computer as follows: The computer acquires performance data of work performed by a staff member using generative artificial intelligence via a staff terminal; The computer acquires log data related to the use of generative artificial intelligence in the work performed by the staff member; The computer calculates the contribution of the generative artificial intelligence to the work performed by the staff member based on the performance data and the log data; The computer outputs the contribution to the work for a specified period to a manager terminal used by the staff member's manager.

[0009] The program according to the present disclosure causes a computer to execute the following information processing method. The information processing method includes a performance data acquisition step, a log data acquisition step, a contribution calculation step, and an output step. The performance data acquisition step acquires performance data of work performed by staff using generative artificial intelligence via a staff terminal. The log data acquisition step acquires log data related to the use of generative artificial intelligence in the work of the staff. The contribution calculation step calculates the contribution of the generative artificial intelligence to the work performed by the staff based on the performance data and the log data. The output step outputs the contribution to work for a specified period to an administrator terminal used by the staff's manager. [Effects of the Invention]

[0010] According to the present disclosure, it is possible to provide an information processing system, an information processing method, and a program that suitably calculate the contribution of a generation AI to a staff member's work. [Brief explanation of the drawings]

[0011] [Figure 1] FIG. 1 is a block diagram of a business management system according to a first embodiment. [Figure 2] 1 is a block diagram of an information processing system according to a first embodiment. [Figure 3] 1 is a flowchart of an information processing method according to a first embodiment. [Figure 4] FIG. 2 is a diagram illustrating a process of the reply system according to the first embodiment. [Figure 5] FIG. 10 is a block diagram of a business management system according to a second embodiment. [Figure 6] FIG. 10 is a block diagram of an information processing system according to a second embodiment. [Figure 7] FIG. 10 illustrates the processing of a relay unit according to the second embodiment. [Figure 8] FIG. 10 is a diagram illustrating management information output by an information processing system according to a second embodiment. [Figure 9] FIG. 10 is a block diagram of an information processing system according to a third embodiment. [Figure 10] 10 is a flowchart of an information processing method according to a third embodiment. [Figure 11] FIG. 11 is a diagram illustrating management information output by an information processing system according to a third embodiment. [Figure 12] FIG. 2 is a block diagram illustrating an example of a hardware configuration of a computer. DETAILED DESCRIPTION OF THE INVENTION

[0012] The present invention will be described below through embodiments of the invention, but the invention according to the claims is not limited to the following embodiments. Furthermore, not all of the configurations described in the embodiments are necessarily essential means for solving the problems. For clarity of explanation, the following description and drawings have been omitted and simplified as appropriate. In each drawing, the same elements are assigned the same reference numerals, and duplicate explanations are omitted as necessary.

[0013] <First Embodiment> The business management system will be described with reference to Fig. 1. Fig. 1 is a block diagram of the business management system 1 according to the first embodiment. The business management system 1 is a system for managing the working status of staff performing work in a company. The business management system 1 mainly comprises an information processing system 10, a manager terminal 20, a staff terminal 30, and a response system 40. These components are communicably connected to a network N1.

[0014] The information processing system 10 is a computer or a server. The information processing system 10 acquires performance data related to the results of work performed by staff members. The information processing system 10 also acquires log data related to the use of generative AI related to the work performed by the staff members. Furthermore, the information processing system 10 calculates the contribution of the generative AI to the work performed by the staff members based on the performance data and the log data. The information processing system 10 outputs the above-mentioned contribution to the work performed by the staff members during a specified period to the administrator terminal 20.

[0015] The manager terminal 20 is a computer terminal used by a manager who manages staff who are employees of a specific workplace. The computer terminal may be a desktop PC, a notebook PC, a tablet terminal, a smartphone, or the like. The manager terminal 20 receives contribution levels from the information processing system 10 via the network N1. At this time, the manager terminal 20 may also receive performance data related to the work performed by the staff from the information processing system 10. The manager terminal 20 may also receive performance data related to the work performed by the staff directly from the staff terminal 30. The manager terminal 20 can also request work and receive the results of work by communicating with the staff terminal 30. The manager terminal 20 may also manage staff profile information.

[0016] The staff terminal 30 is a computer terminal used by staff in their work. The computer terminal may be a desktop PC, notebook PC, tablet terminal, smartphone, or the like. The staff performs the requested work using the staff terminal 30. At this time, the staff uses the generated AI 41 via the staff terminal 30 to perform the work. The staff terminal 30 accepts input of performance data related to the work performed by the staff. In other words, the staff using the staff terminal 30 inputs the results related to the work they performed into the staff terminal 30 as performance data. The staff terminal 30 supplies the accepted performance data to the information processing system 10 via the network N1. The staff terminal 30 may also transmit the performance data to the administrator terminal.

[0017] The answering system 40 includes a generation AI 41 and a system setting unit 42. The answering system 40 accepts a user prompt from a user, inputs the accepted user prompt to the generation AI 41, and causes the generation AI 41 to generate an answer. The answering system 40 outputs the answer generated by the generation AI 41 to the user who provided the user prompt. At this time, the answering system 40 also inputs a system prompt set in the system setting unit 42 to the generation AI 41.

[0018] The generation AI 41 responds to any prompt. For example, the generation AI 41 responds to a prompt input by a staff member from the staff terminal 30. The generation AI 41 also receives a predetermined prompt from the information processing system 10 and responds to the received prompt. The generation AI 41 is, for example, a large-scale language model. The generation AI 41 may be a multimodal model that accepts inputs such as image information and audio signals in addition to accepting text input. The generation AI 41 can also be referred to as generative artificial intelligence. The generation AI 41 may have a RAG function (RAG stands for Retrieval-Augmented Generation) that searches for information from a predetermined database and uses it to provide a response.

[0019] The system setting unit 42 supplies a preset system prompt to the generation AI 41. In this embodiment, the system setting unit 42 includes an instruction to output log data in the system prompt. The system prompt contains detailed instructions regarding the log data written in natural language.

[0020] Next, the information processing system 10 will be further described with reference to Fig. 2. Fig. 2 is a block diagram of the information processing system 10 according to the first embodiment. The information processing system 10 mainly includes an outcome data acquisition unit 110, a log data acquisition unit 120, a contribution degree calculation unit 130, and an output unit 140.

[0021] The outcome data acquisition unit 110 acquires outcome data of the work performed by the staff member using the generated AI 41 via the staff terminal 30. The outcome data also includes objective outcome indicators related to the work performed by the staff member using the generated AI 41.

[0022] Specifically, for example, in software development work, the performance data may include the number of lines of code created by staff using the generation AI 41 or the number of tasks performed. In customer support work, the performance data may include one of the number of tickets handled, the first-response resolution rate, and customer satisfaction. In sales work, the performance data may include the number of tasks performed or the number of cases won.

[0023] The achievement data is generated by a staff member inputting the data into the staff terminal 30. However, the method for generating the achievement data is not limited to this. For example, the achievement data may be supplied to the staff terminal 30 from a business system such as a project management tool or a sales support system. In this case, the staff terminal 30 may acquire the achievement data by linking with the business system via an API (Application Programming Interface) or a webhook.

[0024] The log data acquisition unit 120 acquires log data related to the use of the generated AI 41 in the staff's work. The log data acquisition unit 120 acquires the log data from the staff terminal 30. The staff terminal 30 receives the log data from the response system 40 and provides the received log data to the log data acquisition unit 120.

[0025] The log data is used to calculate the contribution rate, which will be described later. The log data is a record of the fact that the staff member used the generation AI 41 in performing their work and the details of that use. Specifically, the log data includes historical information about the generation AI, such as the number of lines of code output by the generation AI 41 or the number of text tokens output by the generation AI 41. The log data may also include data input by the staff member to the generation AI 41. By including the data input by the staff member to the generation AI 41, the log data acquisition unit 120 can distinguish the log data by task.

[0026] That is, in this case, the generation AI 41 outputs log data about the interaction with the staff terminal 30 to the staff terminal 30 in response to an instruction from the system prompt. The staff terminal 30 supplies the log data together with the outcome data to the log data acquisition unit 120. The log data acquisition unit 120 acquires the log data output by the generation AI 41 from the staff terminal 30.

[0027] The contribution calculation unit 130 calculates the contribution of the generated AI 41 to the work performed by the staff member based on the result data and the log data. The contribution is an index showing the extent to which the generated AI 41 contributed to the work result. The contribution calculation unit 130 estimates the proportion of the work linked to the log data in the work included in the result data, and calculates the contribution based on the estimated proportion. In other words, the contribution calculation unit 130 calculates the proportion of the work content included in the log data to the work content included in the result data as the contribution.

[0028] For example, if the staff member's work is software development, the contribution calculation unit 130 estimates the proportion of code generated using generation AI41 in the staff member's work based on the number of lines of code included in the performance data and the number of lines of code included in the log data.

[0029] For example, if a staff member's job is customer support, the contribution calculation unit 130 estimates the percentage of messages handled using the generated AI41 in the staff member's job based on the number of tickets handled included in the performance data and the number of tokens included in the log data.

[0030] The output unit 140 outputs the contribution degree to work for a predetermined period to the manager terminal 20 used by the staff manager. The predetermined period may be, for example, one day, one week, or one month. By outputting the contribution degree to work for a predetermined period, the information processing system 10 can show the manager how much the staff member's productivity has improved due to the generated AI 41. More preferably, the output unit 140 outputs the achievement data in addition to the contribution degree. This allows the information processing system 10 to favorably encourage the manager to understand the status of the staff member's work. In the present disclosure, the information including the contribution degree output by the output unit 140 to the manager terminal 20 is referred to as management information.

[0031] Next, processing executed by the information processing system 10 will be described with reference to Fig. 3. Fig. 3 is a flowchart of the information processing method according to the first embodiment. In the information processing method according to the present disclosure, the information processing system 10 executes the following method.

[0032] First, the achievement data acquisition unit 110 acquires achievement data of the work performed by the staff member using the generated AI 41 via the staff terminal 30 (step S11). The achievement data acquisition unit 110 supplies the acquired achievement data to the contribution degree calculation unit 130.

[0033] Next, the log data acquiring unit 120 acquires log data relating to the use of the generated AI 41 in relation to the work of the staff (step S12). The log data acquiring unit 120 supplies the acquired log data to the contribution degree calculating unit .

[0034] Next, the contribution calculation unit 130 calculates the contribution of the generated AI 41 to the work performed by the staff member based on the result data and the log data (step S13). The contribution calculation unit 130 supplies the calculated contribution to the output unit 140.

[0035] Next, the output unit 140 outputs the contribution degree in the work for the predetermined period to the manager terminal 20 used by the manager of the staff (step S14). When the output unit 140 outputs the contribution degree, the information processing system 10 ends the series of processes.

[0036] The above describes the information processing method executed by the information processing system 10. According to the above method, the information processing system 10 can simply and appropriately calculate the contribution of the generated AI to the work of the staff and present it to the manager. Note that in the above flowchart, step S11 and step S12 may be interchanged.

[0037] Next, the processing of the response system 40 will be described with reference to Fig. 4. Fig. 4 is a diagram showing the processing of the response system 40 according to the first embodiment. The response system 40 receives a user prompt from the staff terminal 30. The user prompt includes an instruction sentence for causing the generation AI 41 to generate an answer to a user instruction.

[0038] When a user prompt is received from the staff terminal 30, the system setting unit 42 generates a system prompt. The system prompt includes an instruction statement for causing the generation AI 41 to generate log data. The system prompt may be preset. The system prompt may include the content of the user prompt. The system setting unit 42 inputs the user prompt and the system prompt into the generation AI 41.

[0039] Upon receiving a user prompt and a system prompt, the generation AI 41 generates a response in accordance with the respective instructions. That is, the generation AI 41 in this embodiment generates a response to the user prompt and generates log data in accordance with the instructions of the system prompt. The generation AI 41 provides the response to the user prompt and the log data to the staff terminal 30.

[0040] Although the first embodiment has been described above, the information processing system 10 according to this embodiment is not limited to the above configuration. For example, the achievement data acquisition unit 110 may acquire the achievement data from the manager terminal 20 instead of the staff terminal 30.

[0041] Furthermore, for example, the result data acquiring unit 110 may acquire result data including an identifier linked to a staff member and "information about the work" performed by the staff member. More specifically, the "information about the work" included in the result data may include, for example, the content of the code or the content of the task created by the staff member in a software development business. In a customer support business, the "information about the work" may include the content of customer support.

[0042] In this case, the log data acquisition unit 120 may acquire the answer output by the generation AI 41 as log data. The log data acquisition unit 120 may also acquire data input by the staff into the generation AI 41. The log data may provide an overview of the content input by the staff into the generation AI 41 and the content output by the generation AI 41.

[0043] Furthermore, in this case, the contribution calculation unit 130 calculates the proportion of the content included in the log data in the information related to the business of the result data. For example, in the case of software development, the contribution calculation unit 130 collects the number of lines of code generated by the generation AI 41 in an IDE (Integrated Development Environment) and compares it with the result data. As a result, the contribution calculation unit 130 calculates the proportion of the business result generated by the generation AI 41 as the contribution. This allows the information processing system 10 to accurately calculate the contribution.

[0044] In the above-described business management system 1, there is one staff terminal 30, but there may be two or more staff terminals. Also, the response system 40 has one generating AI, but the response system 40 may have two or more generating AIs. In that case, the response system 40 may include multiple generating AIs in a format that allows the staff to select one.

[0045] The information processing system 10 may include a processor and a storage device as components not shown. In this case, the storage device may include a nonvolatile memory such as a flash memory or a solid-state drive (SSD). In this case, the storage device may store a computer program (hereinafter simply referred to as a program) for executing the above-described method. The processor loads the computer program from the storage device into a buffer memory such as a dynamic random access memory (DRAM) and executes the program.

[0046] Each component of the information processing system 10 may be realized by dedicated hardware. Furthermore, some or all of the components may be realized by general-purpose or dedicated circuits, processors, etc., or a combination thereof. These may be configured by a single chip, or by multiple chips connected via a bus. Some or all of the components may be realized by a combination of the above-described circuits, etc., and a program. These components may be realized using a central processing unit (CPU) or a graphics processing unit (GPU) as a processor. Alternatively, these components may be realized using a field-programmable gate array (FPGA), etc. At least some of the functions of this embodiment may be provided as a cloud-based service, such as infrastructure as a service (IaaS), platform as a service (PaaS), or software as a service (SaaS).

[0047] As described above, according to the present embodiment, it is possible to provide an information processing system, an information processing method, and a program that suitably calculate the contribution of a generation AI in the work of a staff member.

[0048] <Embodiment 2> Next, a second embodiment will be described. FIG. 5 is a block diagram of a business management system 1 according to the second embodiment. The business management system 1 according to the present embodiment mainly comprises an information processing system 10, an administrator terminal 20, a staff terminal 30, and a generation AI 41. Of these, the information processing system 10, the administrator terminal 20, and the staff terminal 30 are connected to a network N1. The generation AI 41 is communicably connected to the information processing system 10. With the above-described configuration, when the staff terminal 30 uses the generation AI 41, the information processing system 10 intervenes between the staff terminal 30 and the generation AI 41, and mediates the interaction between the staff terminal 30 and the generation AI 41.

[0049] An information processing system 10 according to the present embodiment will be described with reference to Fig. 6. Fig. 6 is a block diagram of the information processing system 10 according to the second embodiment. The information processing system 10 according to the present embodiment includes a relay unit 150 and a storage unit 200.

[0050] The log data acquisition unit 120 acquires log data from the relay unit 150 that mediates communication between the staff terminal 30 and the generated AI 41.

[0051] The relay unit 150 mediates communication between the staff terminal 30 and the generation AI 41. The relay unit 150 generates metadata for the communication it mediates and generates log data from the generated metadata. The relay unit 150 includes, for example, a proxy server. The relay unit 150 may include a communication gateway between the staff terminal 30 and the generation AI 41 instead of a proxy server. The relay unit 150 also includes a log data generation unit 151 that generates log data from a communication log extracted by the proxy server or communication gateway. With the above-mentioned configuration, the information processing system 10 according to this embodiment acquires log data from communication between the staff terminal 30 and the generation AI 41. Therefore, the information processing system 10 does not need to perform a process to acquire log data from the staff terminal 30.

[0052] The log data acquisition unit 120 may have a function of acquiring log data that has been subjected to processing to remove or mask predetermined personal information. That is, the log data generation unit 151 of the log data acquisition unit 120 masks text portions that are estimated to be personal information from the extracted communication log. To achieve the processing to remove or mask predetermined personal information, the log data acquisition unit 120 estimates portions that are estimated to be name, address, gender, and age from data that has been converted from the communication log into text, for example. The log data acquisition unit 120 may achieve this function using a rule base or machine learning. With the above-mentioned function, the information processing system 10 can calculate the contribution degree while suppressing the leakage of personal information.

[0053] The contribution calculation unit 130 according to this embodiment compares the achievement data with the basic achievement corresponding to the performance of the work when the generation AI 41 is not used. As a result, the contribution calculation unit 130 calculates the difference between the achievement when the generation AI 41 is used and the achievement when the generation AI 41 is not used. The contribution calculation unit 130 calculates the contribution by referring to the calculated difference. To realize the above-mentioned function, the contribution calculation unit 130 reads the basic achievement data 201 stored in the memory unit 200 and compares it with the achievement data.

[0054] Specifically, for example, in a software development business, suppose that a staff member's performance data for a given period indicates 800 lines of code generation, and the basic performance for the corresponding period indicates 500 lines of code generation. In this case, the contribution calculation unit 130 determines that the 300 lines of performance, which is the difference between 800 and 500 lines, is likely to be a contribution from the generation AI 41. Furthermore, in this case, the contribution calculation unit 130 determines that the generation AI 41 was used to generate the code by referring to the log data. In this case, the contribution calculation unit 130 estimates that the difference of 300 lines is a contribution from the generation AI 41. With this configuration, the information processing system 10 can appropriately calculate the contribution while reducing the amount of log data.

[0055] The storage unit 200 includes hardware such as a nonvolatile memory, such as a flash memory or a solid state drive (SSD). The storage unit 200 stores basic result data 201. The basic result data 201 includes data related to the basic workload when a staff member performs work without using the generated AI 41.

[0056] Next, the processing of the relay unit 150 according to the present embodiment will be described with reference to Fig. 7. Fig. 7 is a diagram showing the processing of the relay unit 150 according to the second embodiment. The relay unit 150 receives a user prompt from the staff terminal 30. The relay unit 150 supplies data of the received user prompt to the generation AI 41. At this time, the relay unit 150 stores the content of the user prompt.

[0057] The generation AI 41 receives a user prompt provided by the relay unit 150. The user prompt includes an instruction to generate an answer. The generation AI 41 generates an answer in accordance with the user prompt and provides the generated answer to the relay unit 150.

[0058] The relay unit 150 supplies the answer received from the generation AI 41 to the staff terminal 30. At this time, the relay unit 150 stores the answer data. The relay unit 150 generates log data from the user prompt and the corresponding answer. The relay unit 150 supplies the generated log data to the log data acquisition unit 120.

[0059] Next, the management information output by the information processing system 10 will be described with reference to Fig. 8. Fig. 8 shows a management screen 300 that displays the management information output by the information processing system 10 according to the second embodiment. The management screen 300 is displayed on the display unit of the administrator terminal 20 that has received the management information from the information processing system 10. The management screen 300 mainly includes a staff display unit 310, a period display unit 320, a contribution display unit 330, and an achievement data display unit 340.

[0060] The staff display section 310 is identification information of a staff member linked to the management information. The identification information of a staff member is typically the name of the staff member. The identification information of a staff member may be the staff member's identification number or handle name, etc. The staff display section 310 includes a pull-down button 311. When an administrator operating the administrator terminal 20 selects the pull-down button 311, the staff display section 310 displays the identification information of multiple staff members in a selectable manner. When the administrator selects any staff member, the management screen 300 displays the management information of the selected staff member. In other words, the information processing system 10 outputs the management information of the selected staff member to the administrator terminal 20.

[0061] The period display section 320 displays the period for which the staff member performs their duties. The management screen 300 accepts input from the administrator regarding the period to be displayed in the period display section 320. The information processing system 10 outputs management information relating to the period input in the period display section 320 for the staff member displayed in the staff display section 310 to the administrator terminal 20.

[0062] The contribution degree display unit 330 displays the contribution degree calculated by the contribution degree calculation unit 130. The contribution degree display unit 330 preferably displays the contribution degree in a graph format so that the manager can intuitively understand the contribution degree. The contribution degree display unit 330 includes a detailed display button 331. When the detailed display button 331 is selected, the contribution degree display unit 330 displays detailed information regarding the contribution degree. The detailed information regarding the contribution degree is, for example, the contribution degree for each task in the contribution degree for the entire period set in the period display unit 320. Furthermore, when the period display unit 320 is set to a period spanning multiple days, the detailed information regarding the contribution degree displays the contribution degree for each day using a line graph or bar graph.

[0063] The result data display section 340 displays result data of the work performed by the staff member selected in the staff display section 310 during the period set in the period display section 320. The result data displayed in the result data display section 340 is an overview of the result data. The result data display section 340 includes a detailed display button 341. When the detailed display button 341 is selected, the result data display section 340 displays detailed information about the result data. The detailed display may include the contents of the log data.

[0064] In the management screen 300 shown in FIG. 8, the staff member "Sato**" is selected in the staff member display section 310. The period display section 320 is set to a period from "June 2, 2025" to "June 6, 2025." The contribution display section 330 displays "AI contribution" along with information indicating that the contribution is 34 percent. The performance data display section 340 displays the number of lines of code as "800 lines," the number of processed tasks as "N," and the number of debug processes as "M." This display allows a manager viewing the management screen 300 to intuitively grasp how much performance the staff member achieved during the set period and how much of that was attributable to the generated AI.

[0065] This completes the description of the second embodiment. The information processing system 10 according to this embodiment mediates communication between the staff terminal 30 and the generation AI 41, thereby suitably extracting log data from the communication log.

[0066] The contribution degree calculation unit 130 may execute a process of sequentially updating the contribution degree according to fluctuations in the contribution degree. In this case, the output unit 140 sequentially outputs the contribution degree to at least one of the manager terminal 20 and the staff terminal 30. This allows the information processing system 10 to prompt at least one of the manager and staff who sequentially output the contribution degree to use the generated AI 41.

[0067] The information processing system 10 may be connected to a plurality of generating AIs. In this case, the information processing system 10 selects one generating AI according to the staff member's settings and generates log data for the selected generating AI.

[0068] As described above, according to the second embodiment, it is possible to provide an information processing system, an information processing method, and a program that can appropriately extract log data and appropriately calculate the contribution of the generation AI in the work of staff.

[0069] <Third Embodiment> Next, a third embodiment will be described. Fig. 9 is a block diagram of an information processing system 10 according to the third embodiment. The information processing system 10 according to this embodiment has a remuneration calculation unit 160. Furthermore, a storage unit 200 according to this embodiment stores basic remuneration data 202.

[0070] The remuneration calculation unit 160 calculates the remuneration for the work according to the performance data and the contribution degree. The remuneration calculation unit 160 calculates the remuneration by adding or multiplying the contribution degree of the generation AI41 to the basic remuneration data 202. In this way, the information processing system 10 automatically calculates the remuneration corresponding to the productivity improved by the staff member using the generation AI41. Therefore, the information processing system 10 can eliminate subjective judgment when determining the remuneration. Therefore, the information processing system 10 can appropriately present incentives to the staff member who uses the generation AI41.

[0071] The output unit 140 according to this embodiment outputs the remuneration calculated by the remuneration calculation unit 160 to at least one of the manager terminal 20 and the staff terminal 30. The output unit 140 preferably outputs the performance data, the contribution level, and the remuneration in a manner in which they are associated with each other. This allows the information processing system 10 to intuitively and easily convey to the manager and staff the relationship between the productivity improvement resulting from the use of the generated AI 41 and the remuneration.

[0072] Basic remuneration data 202 stored in storage unit 200 is data related to remuneration corresponding to basic results. In other words, basic remuneration data 202 is data related to remuneration when staff perform work without using generated AI 41. Basic result data 201 and basic remuneration data 202 may be integrated into a single database.

[0073] The information processing system 10 according to this embodiment has been described above. The remuneration calculation unit 160 according to this embodiment may calculate an additional rate for remuneration for a task based on the degree of contribution. In this case, the remuneration calculation unit 160 calculates an additional rate instead of calculating the remuneration amount. That is, in this case, the basic remuneration data 202 is a database that associates the additional rate with the basic performance data 201. In this case, the output unit 140 outputs the additional rate to at least one of the manager terminal and the staff terminal. The manager can separately calculate the remuneration for the staff member by referring to the additional rate.

[0074] Next, the processing executed by the information processing system 10 according to the present embodiment will be described with reference to Fig. 10. Fig. 10 is a flowchart of an information processing method according to the third embodiment. The flowchart according to the present embodiment differs from the flowchart shown in Fig. 3 in the processing after step S13.

[0075] In step S13, the contribution calculation unit 130 calculates the contribution of the generated AI 41 to the work performed by the staff member based on the result data and the log data (step S13). The contribution calculation unit 130 supplies the calculated contribution to the remuneration calculation unit 160 and the output unit 140.

[0076] Next, the remuneration calculation unit 160 calculates the remuneration of the staff member from the contribution degree received from the contribution degree calculation unit 130 and the basic remuneration data 202 (step S31). The remuneration calculation unit 160 supplies the calculated remuneration to the output unit 140.

[0077] Next, the output unit 140 outputs the degree of contribution and the reward (step S32). After outputting the degree of contribution and the reward, the information processing system 10 ends the series of processes.

[0078] Next, the management information output by the information processing system 10 according to the present embodiment will be described with reference to Fig. 11. Fig. 11 is a diagram showing the management information output by the information processing system 10 according to the third embodiment.

[0079] The contribution display unit 330 according to this embodiment displays not only the contribution but also the remuneration amount. In Fig. 11, the remuneration amount is displayed as "*** yen." In this way, the management screen 300 can present the performance data, contribution, and remuneration amount in a manner that allows at least one of the manager and staff member to intuitively grasp the data.

[0080] As described above, according to the third embodiment, it is possible to provide an information processing system, an information processing method, and a program that suitably calculate the contribution and remuneration of a generation AI in the work of a staff member.

[0081] <Example of hardware configuration> Below, an example will be described in which each functional configuration of the information processing system according to the present disclosure is realized by a combination of hardware and software.

[0082] 12 is a block diagram illustrating an example of the hardware configuration of a computer. The information processing system 10 according to the present disclosure can achieve the above-described functions by a computer 500 including the hardware configuration shown in the figure.

[0083] The computer 500 may be a portable computer such as a smartphone or tablet terminal, or may be a stationary computer such as a PC. The computer 500 may be a dedicated computer designed to realize each device, or may be a general-purpose computer. The computer 500 can realize desired functions by installing a predetermined application.

[0084] The computer 500 has a bus 501, a processor 510, a memory 511, a storage device 512, an input / output interface 513, and a network interface 514. The bus 501 is a data transmission path through which the processor 510, the memory 511, the storage device 512, the input / output interface 513, and the network interface 514 transmit and receive data to and from each other. However, the method of connecting the processor 510 and the like to each other is not limited to bus connection.

[0085] The processor 510 is one of various processors such as a CPU, a GPU, an FPGA, etc. The memory 511 is a main storage device realized using a RAM (Random Access Memory) or the like.

[0086] The storage device 512 is an auxiliary storage device realized using a hard disk, an SSD, a memory card, a ROM (Read Only Memory), etc. The storage device 512 stores programs for realizing desired functions. The processor 510 reads the programs into the memory 511 and executes them to realize the respective functional components of each device.

[0087] The input / output interface 513 is an interface for connecting the computer 500 to an input / output device. For example, an input device such as a keyboard and an output device such as a display device are connected to the input / output interface 513. The network interface 514 is an interface for connecting the computer 500 to a network.

[0088] Although the present disclosure has been described above with reference to the embodiments, the present disclosure is not limited to the above-described embodiments. Various modifications that can be understood by those skilled in the art can be made to the configuration and details of the present disclosure within the scope of the present disclosure. Furthermore, each embodiment can be combined with other embodiments as appropriate.

[0089] Each drawing is merely an example for describing one or more embodiments. Each drawing may relate not only to one particular embodiment, but also to one or more other embodiments. As will be understood by those skilled in the art, various features or steps described with reference to any one drawing can be combined with features or steps shown in one or more other drawings to create, for example, an embodiment not explicitly shown or described. Not all features or steps shown in any one drawing are necessary to describe an exemplary embodiment, and some features or steps may be omitted. The order of steps described in any drawing may be changed as appropriate. [Explanation of symbols]

[0090] 1 Business management system 10 Information Processing Systems 20 Administrator terminal 30 Staff terminal 40 Answer System 41 Generation AI 42 System Settings 110 Results Data Acquisition Department 120 Log data acquisition unit 130 Contribution calculation unit 140 Output section 150 Relay Section 151 Log data generation unit 160 Remuneration Calculation Department 200 Storage section 201 Basic Results Data 202 Basic Remuneration Data 300 Management screen 310 Staff Display 311 pull-down button 320 Period display section 330 Contribution display section 331 Details button 340 Results data display section 341 Details button 500 computers 501 Bus 510 processor 511 memory 512 storage devices 513 Input / Output Interface 514 network interface N1 Network

Claims

1. a performance data acquisition unit that acquires performance data of work performed by staff using generative artificial intelligence via staff terminals; a log data acquisition unit that acquires log data regarding the use of the generative artificial intelligence in the work of the staff; a contribution calculation unit that calculates the contribution of the generative artificial intelligence to the work performed by the staff member based on the performance data and the log data; an output unit that outputs the contribution level in the work performed by the staff member during a predetermined period to a manager terminal used by a manager of the staff member; Information processing system.

2. the log data acquisition unit acquires the log data output by the generative artificial intelligence based on an instruction from a system prompt of the generative artificial intelligence that is set to output the log data regarding interactions with the staff terminal; The information processing system according to claim 1 .

3. the contribution calculation unit estimates a ratio of a task linked to the log data in the task corresponding to the outcome data, and calculates the contribution based on the estimated ratio; The information processing system according to claim 1 .

4. The contribution calculation unit calculates the contribution by comparing the achievement data with a basic achievement corresponding to the task when the generative artificial intelligence is not used, and referring to the difference due to the use of the generative artificial intelligence. The information processing system according to claim 1 .

5. Further, a relay unit that mediates communication between the staff terminal and the generative artificial intelligence is provided, The log data acquisition unit acquires the log data from a relay unit that generates the log data by mediating communication between the staff terminal and the generative artificial intelligence. The information processing system according to claim 1 .

6. the log data acquisition unit acquires the log data from which predetermined personal information has been removed or masked. The information processing system according to claim 5 .

7. the contribution degree calculation unit executes a process of sequentially updating the contribution degree in accordance with a change in the contribution degree; the output unit sequentially outputs the degree of contribution to at least one of the manager terminal and the staff terminal; The information processing system according to claim 1 .

8. a remuneration calculation unit that calculates a remuneration for the work according to the achievement data and the degree of contribution; The output unit outputs the reward to at least one of the manager terminal and the staff terminal. The information processing system according to any one of claims 1 to 7.

9. a remuneration calculation unit that calculates an additional rate of remuneration for the work based on the degree of contribution; The output unit outputs the addition rate to at least one of the manager terminal and the staff terminal. The information processing system according to any one of claims 1 to 7.

10. The computer The staff will use generative AI via their terminals to obtain data on the results of their work. Acquire log data regarding the use of the generative artificial intelligence in the work of the staff, Calculating the contribution of the generative artificial intelligence to the work performed by the staff member based on the performance data and the log data; outputting the degree of contribution to the work performed by the staff member during a predetermined period to a manager terminal used by a manager of the staff member; Information processing methods.

11. A result data acquisition step of acquiring result data of work performed by a staff member using the generative artificial intelligence via a staff terminal; a log data acquisition step of acquiring log data regarding the use of the generative artificial intelligence in the work of the staff; a contribution calculation step of calculating the contribution of the generative artificial intelligence to the work performed by the staff member based on the performance data and the log data; an output step of outputting the contribution degree in the work performed by the staff member during a predetermined period to a manager terminal used by a manager of the staff member; causing a computer to execute an information processing method comprising: program.

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