WO2023084286A1

WO2023084286A1 - Ai-based human ressource management

Info

Publication number: WO2023084286A1
Application number: PCT/IB2021/060475
Authority: WO
Inventors: Hamed BAGHERI
Original assignee: Bagheri Hamed
Priority date: 2021-11-12
Filing date: 2021-11-12
Publication date: 2023-05-19

Abstract

It is the time to analyze, propose, do and control human resources management (HRM) tasks completely automatically, using artificial intelligence means (AI-Based), to watch, to manage and to control HRM issues using related data, measures and metrics [Fig. 1]. This system, HAMED HRD, is a comprehensive one to do these and to help all the people around the world disregarding of their race, religion, wealth, etc. It also could be useful for those that are in distant places without accessing to specialists (e.g. human resources managers), those who live in poor areas or those who travel to distant places without accessing to any specialist. The benefit of HAMED HRD is to help businesses while doing HRM in order to see if related HRM activities are being done desirably, efficiently, and effectively, and if the HRM tasks are optimized well enough and are profitable. HAMED HRD can also monitor damages/inefficiencies in the processes, methods, programs, plans, instruments, devices, facilities and so on (if any) and the environmental conditions in which the HRM activities are being done. HAMED HRD can be used for all kind of businesses. Providing that HAMED HRD will be used globally, needed processes, methods, programs, plans, instruments, devices, facilities and so on can be monitored around the world and some useful information (like specific resources in the case of needs in different areas) can be obtained and managed. Thereby, HAMED HRD can estimate required future needs like human resources and other facilities to handle different situations before they actually would be happened. Key words: Human Resources, Doctor, Artificial Intelligence, AI, Virtual, Instrument, Facility, Machine Learning, Pattern Recognition, Statistics, Data, Measure, Metric, Insurance, Finance, Learn, Management, Business, Administration, Manager, Consultant.

Description

Description: Title of Invention: AI-BASED

HUMAN RESSOURCE MANAGEMENT

Technical Field

[0001] It is the time to analyze, propose, do and control human resources management (HRM) tasks (markedly gaining sustainable competitive advantage for human resources management, managing human resources during changes, developing intellectual capital, recruiting needed workforce, designing jobs, groups and teams, developing employees, managing human capital to improve their performance, doing compensations, rewarding workforce in successes, estimating required human capital, planning and executing of the tasks, measuring the tasks and their efficiency and effectiveness, allocating human resources to the tasks, etc.) completely automatically, using artificial intelligence means (Al-Based), to watch, to manage and to control HRM issues using related data, measures and metrics [Fig. 1]. This system, HAMED HRD, is a comprehensive one to do these and to help all the people around the world disregarding of their race, religion, wealth, etc. It also could be useful for those that are in distant places without accessing to specialists (e.g. human resources managers), those who live in poor areas or those who travel to distant places without accessing to any specialist. The benefit of HAMED HRD is to help businesses while doing HRM tasks in order to see if related HRM activities are being done desirably, efficiently, and effectively, and if the HRM tasks are optimized well enough and are profitable. HAMED HRD can also monitor damages/inefficiencies in the processes, methods, programs, plans, instruments, devices, facilities and so on (if any) and the environmental conditions in which the HRM activities are being done. HAMED HRD can be used for all kind of businesses. Providing that HAMED HRD will be used globally, needed processes, methods, programs, plans, instruments, devices, facilities and so on can be monitored around the world and some useful information (like specific needed human resources or workforce in the case of needs in different areas) can be obtained and managed. Thereby, HAMED HRD can estimate required future needs like human resources and other facilities to handle different situations before they actually would be happened.

[0002] First, there is a need for collecting all the data required to manage and to control HRM activities, processes, methods, programs, plans, instruments, devices, facilities and so on: HRD. DATABASE Unit. In this unit, general, specific, and costs and revenues data should be prepared for further analysis. General data contains data of all methods/techniques used in HRM and related measures and metrics. Unique data of each business (or firm), like its used HRM methods or techniques, available resources needed for HRM actions, and so on can be stored as specific data. Other data in HRD. DATABASE Unit contains: needed data of instruments, devices, and other facilities, as well as costs of the HRM activities and calculated revenues.

[0003] All the data from HRD.DATABASE Unit is sorted and prepared in HRD.ALGORITHMS Unit for every single task of HRM with regard to instruments, devices, facilities and so on in such a way that can show correct forms of doing, managing and controlling HRM effectively and efficiently with regard to their needed data, costs and proposed revenues in order to be controlled more easily in HRD.AIU Unit with the information that will be extracted and processed via HRD. INPUTS and HRD. PROCESSING units.

[0004] HRD.DATABASE and HRD.ALGORITHMS units are designed to classify activities of HRM, processes, methods, programs, plans, instruments, devices, facilities and other related data based on existed knowledge. These units can be the first stream of HAMED HRD. The second stream is to analyze the HRM activities, processes, methods, programs, plans, instruments, devices, facilities and other data of the clients (businesses), in addition to the environmental conditions to get information about them. This stream contains two stages named HRD. INPUTS Unit and HRD.PROCESSING Unit.

[0005] HRD.INPUTS Unit is added to HAMED HRD for getting clients' data of activities of HRM, processes, methods, programs, plans, instruments, devices, facilities, and other related data in addition to the environmental conditions directly or indirectly. A person can tell the system some features manually like current HRM activities. In addition, HAMED HRD can monitor conditions of the businesses (HRM tasks and so on) and the environment using some electronic devices such as cameras, special sensors, and measures/metrics (or even raw data that will be analyzed to get information of the measures/metrics).

[0006] In HRD.PROCESSING Unit, data from HRD.INPUTS Unit will be analyzed. The primary purpose of this unit is to check and understand properties (e.g. efficiency) of activities of HRM, processes, methods, programs, plans, instruments, devices, facilities, and other related data in addition to the environmental conditions. It is also feasible to get data (from the HRD.INPUTS Unit) before and after a period of time, then, changes in the activities of HRM, processes, methods, programs, plans, (or other related information) can be drawn. Other data from HRD.INPUTS unit will also be checked and processed, like the data told HAMED HRD by the client manually using voice processing techniques.

[0007] The output of the two streams introduced earlier would then go to the artificial intelligence unit (HRD.AIU), those are the output of HRD.ALGORITHMS and HRD.PROCESSING units. HRD.AIU is the heart of the system and is responsible to explore, detect, propose, implement, control and assess HRM tasks (markedly gaining sustainable competitive advantage for human resources management, managing human resources during changes, developing intellectual capital, recruiting needed workforce, designing jobs, groups and teams, developing employees, managing human capital to improve their performance, doing compensations, rewarding workforce in successes, estimating required human capital, planning and executing of the tasks, measuring the tasks and their efficiency and effectiveness, allocating human resources to the tasks, etc.), and to check and control the environmental conditions in which the businesses are running in order to control the tasks, processes, methods, programs, plans, instruments, devices, facilities, and other issues before/during/after doing them and in order to manage/control the HRM activities by means of related data, measures and metrics (analyzing the output of HRD.PROCESSING Unit with regard to HRD.DATABASE and HRD.ALGORITHMS units). This matching process can be done using different artificial intelligence techniques like machine learning, pattern recognition, statistics, data mining, and so on. Also, HRD.AIU can access to HRD.DATABASE Unit and write data gathered activities of HRM, processes, methods, programs, plans, instruments, devices, facilities, the environment and others there (for the user), or get any data needed for its main tasks.

[0008] The next step of HAMED HRD is to tell the results to the clients via HRD. COMM Unit. It is preferred to use deep fake for making HAMED HRD more realistic. This will help people to contact with the system more easily and feel better contacting with HAMED HRD. It can be the face of a person, like myself, or an animation character. Clients can choose whoever want to be their human resources doctor. HRD. COMM Unit can tell the clients the conditions of activities of HRM, processes, methods, programs, plans, instruments, devices, facilities, the environment (or other related issues). If HAMED HRD would detect some deficiencies in any part(s), HRD. COMM Unit will communicate failures detected in HRD.AIU Unit and tell necessary and required actions to the clients. For instance, if productivity of an employee is not appropriate and HAMED HRD detects a defect in the method of HRM used by the client to recruit the person, required correction(s) will be communicated to the client via HRD. COMM unit. If the system could not reach a decision due to incomplete or inaccurate data of the activities of HRM, processes, methods, programs, plans, instruments, devices, facilities, or other inputs, HRD.COMM will tell the clients and the process will be jumped backed to the initial stage, HRD. INPUTS. Providing that some further required actions (like correction(s)) requested by the clients or detected by the system, HAMED HRD can offer some sorts of solutions: continuous watching of the activities of HRM, processes, methods, programs, plans, instruments, devices, facilities, and the environment (HRD.CW), real assistants' (e.g. human resources managers') help (HRD.RA), needed instruments or other facilities for HRM activities or other tasks (HRD. SUP), financing for purchasing instruments or other facilities (HRD. FIN), insurance offers (HRD.INSUR), needed workforces/employees (HRD.EMP) and learning about activities of HRM, processes, methods, programs, plans, instruments, devices, and other facilities (HRD. LEARN). The results of all the activities of HRM, processes, methods, programs, plans, instruments, devices, and other facilities owned, used or done by all the clients at collective level can then be gathered in HRD.MAN Unit. These units will be described in the following paragraphs.

[0009] HAMED HRD can offer continuous watching via HRD.CW Unit to help clients controlling the activities of HRM, processes, methods, programs, plans, instruments, devices, facilities, the environmental conditions and the tasks (mentioned as HRD.AIU main tasks), and adopting to changes and new situations seamlessly and in any places. This feature is very helpful for watching the activities of HRM, processes, methods, programs, plans, instruments, devices, facilities and other related data continuously without any helps of humans like human resources managers.

[0010] In some cases, clients may desire to consult with real assistants (e.g. human resources managers), or the system cannot reach a decision and need helps from real experts for instance, so HRD.RA Unit is responsible to make connections with real humans and experts. Experts (like human resources managers) can also use HAMED HRD via HRD.RA Unit to get extra information based on the data stored in HRD.DATABASE Unit as well as information of their activities of HRM, processes, methods, programs, plans, instruments, devices, facilities and other related data in addition to the environment analyzed by HAMED HRD.

[0011] Clients may need some sorts of instruments, devices or other facilities for HRM or other tasks, thereby, HRD.SUP Unit can provide those needs, facilities and instruments directly (using its own delivery system) or by making relationships with other companies or stores. This feature can help clients satisfying their needs while using HAMED HRD easily, no matter where they live.

[0012] HRD.FIN Unit can help clients buying their needs like instruments or other facilities for running HRM tasks by providing financing facilities (e.g. loan).

[0013] HAMED HRD, via HRD.INSUR Unit, can insure the activities of HRM, processes, methods, programs, plans, instruments, devices, facilities, employees and so on, or make relationships with other insurance companies to help supporting clients financially if they encounter any issues while using the system.

[0014] HRD.FMP Unit is designed to help clients to find any workforces (employees) they may need during the HRM activities or using HAMED HRD. [0015] HRD. LEARN Unit is a way for clients to learn about activities of HRM, processes, methods, programs, plans, instruments, devices, facilities and other related data for increasing their knowledge or just for entertainment.

[0016] Information of clients at collective level can be gathered and monitored via HRD. MAN Unit. It is a whole management unit and is useful to understand societies' information like available HRM opportunities, potentials of doing them, demands for instruments and other facilities needed for the processes and so on. Providing that HAMED HRD will be used globally, needed processes, methods, programs, plans, instruments, devices, facilities and so on can be monitored around the world and some useful information (like specific resources in the case of needs in different areas) can be obtained and managed. Thereby, HAMED HRD can estimate required future needs like human resources and other facilities to handle different situations before they actually would be happened.

Background Art

[0017] "System, method, and software for image processing," United States patent US9277141B2, "According to certain embodiments, an image processing system includes a computing system that receives a video signal including data for one or more images and determines a region of interest in a particular image of the one or more images. Using the determined region of interest, the computing system instructs the camera to generate a peripheral region of one or more subsequent images having a reduced information intensity level relative to the information intensity level with which the region of interest of the one or more subsequent images are generated. The region of interest of the one or more subsequent images corresponds to the region of interest of the particular image. The peripheral region including portions of the image other than the region of interest."

[0018] "Digital image processing," United States pattern US6240217B1, "A method of processing digital image information, including pixel intensity information, includes the steps of identifying a region of the image in which pixel intensities are similar to each other, but the median pixel intensity differs significantly from the median pixel intensity of other parts of the image; and modifying pixel intensities in the identified region so that the median for the region is closer to the median for the other parts of the image. A related method of processing digital image information involves modifying pixel intensities according to a nonlinear algorithm, with the result that one or more regions of the image have their median pixel intensities adjusted to a level which is closer to the median pixel intensity for other parts of the image. A composite digital image can be formed by obtaining first and second digital images of the same scene but with different exposure or light reception conditions so that one of the digital images has higher pixel intensity values than the other; identifying one or more regions on the first image which are less clear than the corresponding regions on the second image; and replacing the identified regions of the first image with the corresponding regions of the second image."

[0019] "Image processing device and image processing method," United States patent US9542599B2, "An image processing device for correcting at least a portion of a face image containing a person's face, includes an image acquisition unit that acquires a face image, a region extractor that extracts a pupil region containing a pupil from the face image, a determination unit that determines a presence or absence of halation in the pupil region, a first template acquisition unit that acquires a first template image which is a correction template image, a reference color acquisition unit that acquires a reference color corresponding to the person from the face image, a second template acquisition unit that generates a second template image using the first template image and the reference color, and a correction unit that composites the second template image with at least the region in the pupil region where the halation occurred to correct the halation."

[0020] "Voice processing method and device, and pickup circuit," WIPO (PCT) patent W02017071183A1, "A voice processing method and device, and a pickup circuit. The method comprises: collecting a voice signal, the voice signal comprising a voice incoming signal inputted by a user, and a voice feedback signal broadcast by a voice recognition processor (Sil); eliminating the voice feedback signal in the voice signal to obtain the voice incoming signal (S12); and transmitting the voice incoming signal to the voice recognition processor which is used for identifying the voice incoming signal and broadcasting the voice feedback signal (S13). By means of simultaneously collecting the voice incoming signal inputted by the user and the voice feedback signal outputted by the voice recognition processor and eliminating the voice feedback signal therein, the final collected voice signal is not interfered by the feedback signal, allowing for a "clean" voice incoming signal to obtained, and thereby improving voice recognition accuracy."

[0021] "Voice interactive method and device based on artificial intelligence," China patent CN106941000A, "The present invention proposes a kind of voice interactive method and device based on artificial intelligence, wherein, method includes: By when detect proceed by interactive voice when, gather user input voice, identification obtain corresponding word. And then the word is identified, obtain the interaction demand and type of interaction of user. According to type of interaction, the suspension windows of display above the displaying interface of television services, or the displaying interface of selection television services, the interaction demand of feedback user are selected. Due to according to type of interaction, the feedback presentation mode that selection is adapted with interaction demand, to improve the presentation effect of interactive voice, it is to avoid interactive voice process is interfered to user using the process of intelligent television, solve interactive voice in the prior art and the poor technical problem of effect is presented."

[0022] "Artificial intelligence conversation device and method," WIPO (PCT)Patent WO2016175354A1, "The present invention relates to an artificial intelligence conversation device and method which supports a conversation between a human and a robot. An artificial intelligence conversation device according to an aspect of the present invention comprises: an input answer analysis unit which analyzes an answer input from a user; a response control unit which selects at least one response scenario among predetermined scenarios according to the result of the analysis and transmits an output command for a response and a question to the user's answer; and an output unit which outputs a silence or a conversation start voice and outputs a response voice and a question voice according to the output command from the response control unit."

[0023] "Human Level Artificial Intelligence Software Application for Machine & Computer Based Program Function," United States patent US20070299802A1, "A method of creating human level artificial intelligence in machines and computer software is presented here, as well as methods to simulate human reasoning, thought and behavior. The present invention serves as a universal artificial intelligence program that will store, retrieve, analyze, assimilate, predict the future and modify information in a manner and fashion which is similar to human beings and which will provide users with a software application that will serve as the main intelligence of one or a multitude of computer based programs, software applications, machines or compilation of machinery." [0024] "Determine the method and artificial intelligence equipment of emotion threshold value," China patent CN107194151A, "The application provides the method and artificial intelligence equipment for determining emotion threshold value, and this method includes: Step 1, artificial intelligence equipment determines that the affective state of the first user is the first affective state according to the monitoring information got: Step 2, the artificial intelligence equipment obtains N number of action of second user: Step 3, the artificial intelligence equipment determines the first action according to Q value tables: Step 4, the Q values of first affective state and first action should be corresponded in the artificial intelligence renewal of the equipment Q value tables: Step 5, the artificial intelligence equipment determines whether the Q values updated are more than predetermined threshold value, if so, then emotion threshold value is determined according to the monitoring information, if it is not, then repeating the step 1 to the step 5 until it is determined that until the emotion threshold value. Above-mentioned technical proposal can be optimized using the Q methods learnt to emotion threshold value, so as to improve communication efficiency and the communication effectiveness under different scenes."

[0025] "Artificial intelligence system," United States patent US8126832B2, "An artificial intelligence system and method for interpreting input from a user and generating a response to the user. The input is converted into an array of concepts which are compared to a database of interrelated concepts. A response is generated based on the concepts in the database and their relationship to the concepts in the input array. The system and method may be implemented in a number of electronic or computer devices to interact with humans or computer systems."

[0026] "Artificial intelligence system," United States patent US4670848A, "An artificial intelligence system for accepting a statement, understanding the statement and making a response to the statement based upon at least a partial understanding of the statement. The system is characterized by its interaction with a user, which may be a person or machine, in gathering additional statements through inquiries to develop the most specific understanding possible by matching of the statements with a data base."

[0027] "Artificial intelligence systems for identifying objects", WIPO (PCT) patent W02008091281A2, "A process for object identification comprising extracting object shape features and object color features from digital images of an initial object and storing the extracted object shape features and object color features in a database where said extracted object shape features and object color features are associated with a unique identifier associated with said object and repeating the first step for a plurality of different objects. Then extracting object shape features and object color features from a digital image of an object whose identity is being sought and correlating the extracted object shape features and object color features of the object whose identity is being sought with the extracted object shape features and object color features previously stored in the database. If a first correlation of the extracted object shape features is better than a first threshold value for a given object associated with an identifier in the database and if a second correlation of the extracted object color features is better than a second threshold value for the given object, then making a determination that the object whose identity is being sought is said given object."

[0028] "3-d graphic generation, artificial intelligence verification and learning system, program, and method," WIPO (PCT) patent W02017171005A1, "[Problem] To facilitate rendering a computer graphic image in real-time, compositing same with a video of an actual scene, and creating interactive content, and also to ensure responsiveness to a user operation. [Solution] Provided is a 3-D graphic generation system, comprising: a full-sky sphere camera 11 which photographs a background scene D2 of a virtual space 4; an actual environment acquisition means 12b which acquires turntable environment data DI of an actual site of which photographic raw material is photographed; an object control unit 254 which generates a virtual three-dimensional object D3 which is positioned within the virtual space 4, and which causes the three-dimensional object D3 to act on the basis of a user operation; an environment reproduction unit 252 which, on the basis of the turntable environment data DI, sets lighting within the virtual space; and a rendering unit 251 which, on the basis of the lighting which is set by the environment reproduction unit 252 and the control which is performed by the object control unit 254, composites the three-dimensional object upon the photographic raw material which a raw material image photographic unit 12a has photographed."

Summary of Invention

[0029] HAMED HRD is a completely automatic doctorto analyze, propose, do and control HRM tasks using artificial intelligence means (Al-Based), to watch, to manage and to control HRM issues using related data, measures and metrics [Fig. 1]. The benefit of HAMED HRD is to help businesses while doing HRM in order to see if related HRM activities are being done desirably, efficiently, and effectively, and if the HRM tasks are optimized well enough and are profitable. HAMED HRD can also monitor damages/inefficiencies in the processes, methods, programs, plans, instruments, devices, facilities and so on (if any) and the environmental conditions in which the HRM activities are being done. HAMED HRD can be used for all kind of businesses. Providing that HAMED HRD will be used globally, needed processes, methods, programs, plans, instruments, devices, facilities and so on can be monitored around the world and some useful information (like specific resources in the case of needs in different areas) can be obtained and managed. Thereby, HAMED HRD can estimate required future needs like human resources and other facilities to handle different situations before they actually would be happened.

Technical Problem

[0030] HRD. DATABASE Unit needs data of all methods/techniques used in HRM and related measures and metrics, unique data of each business (or firm), like its used HRM methods or techniques, available resources needed for HRM and any other required data for doing HRM activities, as well as costs of the HRM activities and calculated revenues. However, this can be done step by step; a limited number of the data can be stored at first, and then, other data will be added to HAMED HRD.

[0031] Another milestone of HAMED HRD is HRD.PROCESSING Unit where it is needed how to process image of the activities of HRM, processes, methods, programs, plans, instruments, devices and other facilities in addition to voice of the clients for manual inputting of the information like characteristics of the previously used HRM methods by the client. Nowadays there are a lot of methods for image and voice processing to reach these purposes of the system.

[0032] The important part of HAMED HRD is HRD.AIU Unit where abovementioned features should be controlled. Thereby, methods should be designed carefully and efficiently.

[0033] Ultimately, using deep fake in HRD.COMMM Unit needs precise methods and these would be more realistic in near future, although it is now good in some extent.

Advantageous Effects of Invention [0034] HAMED HRD is a comprehensive system to analyze, propose, do and control HRM tasks completely automatically, by artificial intelligence means (Al-Based), and without any help of specialists in order to watch, to manage and to control HRM issues using related data, measures and metrics.

[0035] HAMED HRD can help all the people around the world disregarding of their race, religion, wealth, etc.

[0036] HAMED HRD also could be useful for those that are in distant places without accessing to any specialists, those who live in poor areas or those who travel to distant places without accessing to any specialists.

[0037] HAMED HRD can control the quality and efficiency of the HRM activities, tasks, processes, methods, programs, plans, instruments, devices, facilities, and other issues for each business.

[0038] Another benefit of HAMED HRD is to offer facilities for HRM purposes.

[0039] HAMED HRD can also be used for satisfying clients' needs regarding financing, insurance and workforce issues for HRM activities.

[0040] Individuals can learn from HAMED HRD about different tasks, processes, methods, programs, plans, instruments, devices, facilities, and so on for their interests.

[0041] Providing that HAMED HRD will be used globally, needed processes, methods, programs, plans, instruments, devices, facilities and so on can be monitored around the world and some useful information (like specific resources in the case of needs in different areas) can be obtained and managed. Thereby, HAMED HRD can estimate required future needs like human resources and other facilities to handle different situations before they actually would be happened.

Brief Description of Drawings

Fig.l

[0042] [fig.l] Flowchart of the system: it shows how HAMED HRD works.

Description of Embodiments

[0043] HRD. DATABASE Unit stores all the data required for HAMED HRD, and HRD.ALGORITHMS Unit represents correct forms of every single task of HRM with regard to instruments, devices, facilities and so on in such a way that can show correct forms of doing, managing and controlling HRM issues effectively and efficiently with regard to their needed data, costs and proposed revenues in order to be controlled more easily in HRD.AIU Unit for further analysis. HRD. DATABASE and HRD.ALGORITHMS units shape the first stream reaching HRD.AIU Unit. The second stream includes HRD. INPUTS and HRD. PROCESSING units which then are joined to the first stream and connected to HRD.AIU Unit. HRD.AIU is the heart of the system and is responsible to explore, detect, propose, implement, control and assess HRM tasks (markedly gaining sustainable competitive advantage for human resources management, managing human resources during changes, developing intellectual capital, recruiting needed workforce, designing jobs, groups and teams, developing employees, managing human capital to improve their performance, doing compensations, rewarding workforce in successes, estimating required human capital, planning and executing of the tasks, measuring the tasks and their efficiency and effectiveness, allocating human resources to the tasks, etc.), and to check and control the environmental conditions in which the businesses are running in order to control the tasks, processes, methods, programs, plans, instruments, devices, facilities, and other issues before/during/after doing them and in order to manage/control the HRM activities by means of related data, measures and metrics (analyzing the output of HRD.PROCESSING Unit with regard to HRD. DATABASE and HRD.ALGORITHMS units). The next step of HAMED HRD is to tell the results to the clients via HRD. COMM Unit. Ultimately, there are some sorts of facilities that can be offered by HAMED HRD named as: HRD.CW, HRD.RA, HRD.SUP, HRD.FIN, HRD.INSUR, HRD.EMP, HRD.LEARN, and HRD.MAN.

Examples

[0044] HAMED HRD can evaluate human capital performance and tell required actions or alarm in abnormal situations for each business to a client using data of the client and using measures and metrics (stored in HRD. DATABASE Unit), corrections of the client's business can be calculated and needed further actions will be communicated to the client.

Industrial Applicability

[0045] Everywhere that a business needs to analyze, propose, do and control HRM tasks (markedly gaining sustainable competitive advantage for human resources management, managing human resources during changes, developing intellectual capital, recruiting needed workforce, designing jobs, groups and teams, developing employees, managing human capital to improve their performance, doing compensations, rewarding workforce in successes, estimating required human capital, planning and executing of the tasks, measuring the tasks and their efficiency and effectiveness, allocating human resources to the tasks, etc.).

[0046] Everywhere that a person/business needs distant help while doing HRM in order to see if related HRM activities are being done desirably, efficiently, and effectively, and if the HRM tasks are optimized well enough and are profitable.

[0047] HAMED HRD can continuously watch conditions of HRM activities, tasks, processes, methods, programs, plans, instruments, devices, facilities, the environmental conditions and the tasks (mentioned as HRD.AIU main tasks) seamlessly and in any places. HAMED HRD can also get help of real assistants (e.g. human resources managers) if needed.

[0048] When anyone needs any employees regarding doing the HRM activities or any needed workforce while using HAMED HRD.

[0049] When anyone needs insurance.

[0050] When anyone needs to purchase needed instruments or other facilities.

[0051] When any kind of financial assistances is needed.

[0052] When clients need HRM help for reaching their goals.

[0053] When a client needs or like to increase his/her knowledge about different HRM tasks, processes, methods, programs, plans, instruments, devices, and other facilities. [0054] Providing that HAMED HRD will be used globally, needed processes, methods, programs, plans, instruments, devices, facilities and so on can be monitored around the world and some useful information (like specific resources in the case of needs in different areas) can be obtained and managed.

[0055] HAMED HRD can estimate required future needs like human resources and other facilities to handle different situations before they actually would be happened.

Reference to Deposited Biological Material

[0056] It does not relate.

Claims

[Claim 1] HAMED HRD is a completely automatic doctor to analyze, plan, propose, do and control human resources management tasks using artificial intelligence means (Al-Based), to watch, to manage and to control human resources management issues using related data, measures and metrics, HAMED HRD can help all the businesses while doing human resources management in order to see if related human resources management activities are being done desirably, efficiently, and effectively, and if the human resources management tasks are optimized well enough and are profitable, and also HAMED HRD can monitor damages/inefficiencies in the processes, methods, programs, plans, instruments, devices, facilities and so on (if any) and the environmental conditions in which the human resources management activities are being done, characterized by HRD.AIU, which get the outputs of HRD.ALGORITHMS and HRD.PROCESSING units (the outputs of HRD. DATABASE and HRD.INPUTS units respectively), HRD.COMM, HRD.CW, HRD.RA, HRD.SUP, HRD.FIN, HRD.INSUR, HRD.EMP, HRD.LEARN, and HRD.MAN units [fig. 1],

[Claim 2] According to the claim 1, HRD. DATABASE Unit is characterized in a way that can store all the required data: general, specific, needed data, and costs and revenues.

[Claim 3] According to the claims 1 and 2, all the data from HRD.DATABASE Unit is sorted and prepared in a unit characterized as HRD.ALGORITHMS for every single task of human resources management with regard to the instruments, devices, facilities and so on in such a way that can show correct forms of doing, managing and controlling human resources management effectively and efficiently with regard to their needed data, costs and proposed revenues in order to be controlled more easily in HRD.AIU Unit with the information that will be extracted and processed via HRD.INPUTS and HRD.PROCESSING units.

[Claim 4] According to the claim 1, clients' data of activities of human resources management, processes, methods, programs, plans, instruments, devices, facilities and other related data in addition to the conditions of the businesses and the environment can be gotten by a unit characterized as HRD.INPUTS Unit manually, by the client, or automatically, using data of sensors, detectors, cameras, microphones, measures/metrics (or even raw data that will be analyzed to get information of the measures/metrics) and other facilities.

[Claim 5] According to the claims 1 and 4, a unit characterized as HRD.PROCESSING Unit is responsible for making the raw data from HRD.INPUTS unit ready for further analyses in HRD.AIU Unit.

[Claim 6] According to the claims 1,2, 3,4 and 5, a unit characterized as HRD.AIU Unit is responsible to explore, detect, plan, propose, implement, control and assess human resources management tasks (markedly gaining sustainable competitive advantage for human resources management, managing human resources during changes, developing intellectual capital, recruiting needed workforce, designing jobs, groups and teams, developing employees, managing human capital to improve their performance, doing compensations, rewarding workforce in successes, estimating required human capital, planning and executing of the tasks, measuring the tasks and their efficiency and effectiveness, allocating human resources to the tasks, etc.), and to check and control the environmental conditions in which the businesses are running in order to control the tasks, processes, methods, programs, plans, instruments, devices, facilities, and other issues before/during/after doing them and in order to manage/control the human resources management activities by means of related data, measures and metrics (analyzing the output of HRD.PROCESSING Unit with regard to HRD.DATABASE and HRD.ALGORITHMS units) using artificial intelligence (or other) techniques.

[Claim 7] According to the claims 1,2, 3, 4, 5 and 6, results of the system and further required actions will be communicated to the client via a unit characterized as HRD.COMM Unit.

[Claim 8] According to the claims 1,2, 3, 4, 5, 6 and 7, a unit characterized as HRD.CW Unit offers continuous watching and helps clients controlling activities of human resources management, processes, methods, programs, plans, instruments, devices, facilities, the environmental conditions and the tasks (mentioned as HRD.AIU main tasks) seamlessly and in any places without any helps of humans like human resources managers.

[Claim 9] According to the claims 1,2, 3,4, 5, 6 and 7, a unit characterized as HRD.RA Unit is responsible to make connections with real humans and experts (e.g. human resources managers) if needed, and experts can also use HAMED HRD via HRD.RA Unit to get extra information based on the data stored in HRD. DATABASE Unit as well as information of their activities of human resources management, processes, methods, programs, plans, instruments, devices, facilities, and the environment analyzed by HAMED HRD.

[Claim 10] According to the claims 1,2, 3, 4, 5, 6 and 7, a unit characterized as HRD.SUP Unit can provide needed instruments, devices, and other facilities for human resources management or other tasks directly (using its own delivery system), or by making relationships with other companies or stores.

[Claim 11] According to the claims 1,2, 3, 4, 5, 6 and 7, a unit characterized as HRD. FIN Unit can help clients buying their needs like instruments or facilities by providing financing facilities (e.g. loan).

[Claim 12] According to the claims 1,2, 3, 4, 5, 6 and 7, a unit characterized as HRD.INSUR Unit can insure activities of human resources management, processes, methods, programs, plans, instruments, devices, or other facilities for human resources management or other tasks, employees and so on, or make relationships with other insurance companies to help supporting clients financially if they encounter any issues while using the system.

[Claim 13] According to the claims 1,2, 3, 4, 5, 6 and 7, a unit characterized as HRD.EMP Unit is designed to help clients to find any workforces (employees) they may need during using HAMED HRD.

[Claim 14] According to the claims 1,2, 3, 4, 5, 6 and 7, a unit characterized as HRD. LEARN Unit is a way for clients to learn about human resources management, activities of human resources management, processes, methods, programs, plans, instruments, devices, facilities and other related data for increasing their knowledge or just for entertainment.

[Claim 15] According to the claims 1,2, 3, 4, 5, 6, and 7, information of the clients at collective level can be gathered, monitored, and managed via a unit characterized as HRD.MAN Unit to understand societies' information (like needed processes, methods, programs, plans, instruments, devices, specific resources in the case of needs in different areas, and so on), and HAMED HRD can estimate required future needs like human resources and other facilities to handle different situations before they actually would be happened.