Impact of Artificial Intelligence on Organizational Transformation. Группа авторов

Impact of Artificial Intelligence on Organizational Transformation - Группа авторов


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      In the 1980s, tools with large reserves and algorithmic commands have developed, the John Hop field and David Rumlhald implemented the “Deep Learning” method which made the device more independent in terms of independent-learning through previous understanding.

      Note: Three stages of Artificial Intelligence are three stages is Inference, Knowledge, and Learning period. It describes the various stages of implementation of Artificial Intelligence in previous years. It also shows the evolution of AI in a periodical and systematic manner from simple to complex technology. Source: https://www.researchgate.net/publication/323591839_State-of-the-Art_Mobile_Intelligence_Enabling_Robots_to_Move_Like_Humans_by_Estimating_Mobility_with_Artificial_Intelligence/figures?lo=1.

      4.2.1 Phases of Artificial Intelligence

       Artificial Narrow Intelligence (ANI): It is the initial stage where there is no power of logical reasoning and problem-solving ability. It covers only one functional area.

       Artificial General Intelligence (AGI): Currently, this phase is working which works on more than one functional area with advance features and starts working as human brain means thinking logically with problem-solving skill.

       Artificial Super Intelligence (ASI): It is a very advance stage where it works equally as human intelligence.

Schematic illustration of phases of Artificial Intelligence.

      Note: It explains that the changeover gap is shorter during the development of ANI to AGI while longer between II and III phases. The ASI has the intelligence of humans and machines in an equal manner. Source: UBS, https://www.ubs.com/microsites/artificial-intelligence/en/new-dawn.html, 2016.

      HRM has come a long way from the traditional nomenclature of Personnel Management. HR managers are nowadays viewed as catalytic agents who facilitate organizational work. Previously, companies were not so concern about the welfare, fulfillment, and happiness of their professionals but the focus was on maintaining discipline, punctuality, and wage administration. Lately, the companies realize that the employees are not like machines but they are a vital resource of the organization. Consequently, the focus shifted on attracting and retaining the talented HRs to their organization.

       List out the problems and areas where its requirement is more.

       Form a team of significant stakeholders and communicate them the benefit of AI implementation in business areas to solve crucial problems.

       Assess the requirement of new jobs and skilled professionals to work with AI-based technology.

       Develop a basic understanding of the uses of AI in various phases of the life of an employee.Applicability of AI in the entire area of Human Resources has completely transformed the entire work process of HRM. AI is enough capable to make HR professionals work easy and to reduce their manual workload but it will never be able to replace the HR managers [6].AI is re-shaping and transforming the profession of HRM and it can be introduced in the HR process [7]. The increasing use of AI in the HR profession results in more time being available for HR managers which can be used for motivating and mentoring employees. Now, the HRD becomes more efficient by implementing AI supporting systems in its work area, and therefore, recent technologies are the key to making a workplace less categorized, more open, and more innovative as well. The HRD must align their policies and practices with technology and employees need similarly that the marketing as per customer needs.

      On the other side, the HR professional should implement AI to increase the employees’ performance. There are two important functions of HRM where AI can be effectively used:

       Recruitment and selection of employees.

       Increasing the efficiency of employees.

      It is an immense need to have deep knowledge and capability to articulate the influence of AI-based technology on HRM and its practices [8]. Similarly, those who are responsible for HRs must clear the doubts and make workers free from the stress who see AI as an enemy.


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