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08. Conclusion: Toward a Human–AI Partnership in HRM

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8. Conclusion: On the way to a Human-AI Partnership in HRM. The introduction of Artificial Intelligence (AI) to Human Resource Management (HRM) is not only the beginning of the technological change, but also the re-invention of the way organizations perceive, support, and develop people. In this journey of discovery, including the theoretical root as well as the practical application and the advantages, difficulties and future of HR functions, it is evident that AI is making HRM more strategic, data-driven and a people-function. The ability of AI to automate menial procedures, process large amounts of data, forecast human resource trends, and customize the employee experience provides HR with capabilities never seen before. (Sadeghi, 2024) Recruitment is made quicker and unbiased. Learning and development is more individualistic. Both engagement strategies are more active. Planning of the workforce is more accurate. In this, HR professionals are given the liberty to concentrate on ...
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07. The Future of HR Professionals in the Age of AI

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7. The Future of HR Professionals in AI. With the Artificial Intelligence (AI) further transforming Human Resource Management (HRM), the HR professional position is experiencing an extreme change. Instead of eliminating human knowledge, AI is changing the priorities of the human resource professionals, making their duties less administrative and more leadership-oriented and people-oriented. The future of the HR is seen in the combination of human capabilities such as empathy, judgment, and ethical reasoning with AI in the areas of automation, analytics, and prediction. This section discusses the changing of HR roles, required new skills, and the way professionals can find their way in the AI-driven future. 1. Change of Administrative Work to Strategic Leadership. Historically, the duties of an HR were mostly precarious administrative responsibilities: going through the paperwork, organising interviews, filling out payrolls, or just keeping track of the employees manually. Parti...
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06. Global Case Studies and Best Practices

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  6. International Cases and Best Practices. Organizations across the globe are adopting the Artificial Intelligence (AI), in an effort to transform their Human Resource Management (HRM) practices. Whether it is multinational corporations or the start up, which are developing at a rapid rate, AI is improving the recruitment, performance management, training, and workforce planning. These international case studies show how major firms are being strategic in their use of AI -and even provide best practices that other entities may emulate. Case Study 1: Unilever - AI-Based Recruiting to Be Fair and Efficient. Unilever is a multinational consumer goods company that deployed AI to design its graduate recruitment and entry-level hiring process entirely anew. (Booth, 2019) Key AI Applications           AI-fueled gamified tests to be used to test cognitive skills, problem-solving, and emotional attributes.           Analysis of v...
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05. Ethical, Legal, and Human Challenges

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5. HRM Ethical, Legal and Human Challenges of AI. Although Artificial Intelligence (AI) is associated with enormous advantages to Human Resource Management (HRM), it is also accompanied by huge ethical, legal, and human precautions that an organization needs to pay close attention to. With the increasing integration of AI within the recruitment, performance management, learning and development, and the decision-making process, the issues of privacy, fairness, accountability, and employee trust have increased. Knowing such issues is vital to companies that expect to implement AI in a responsible manner and keep staff members trusting HR technologies. 1. Ethical Challenges AI poses various ethical dilemmas that challenge the idea of fairness, transparency and the responsible use of data. a. Algorithms create discrimination and bias against individuals. Algorithms cause bias and discrimination. Artificial intelligence systems are based on historical data. In case there is some...
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