The Role of Artificial Intelligence in Enhancing Workforce Productivity: Advanced Computing Applications in HR
DOI:
https://doi.org/10.69987/Keywords:
Artificial Intelligence, Workforce Productivity, Human Resource Management, Advanced Computing, Predictive AnalyticsAbstract
The role of Artificial Intelligence (AI) in enhancing workforce productivity has emerged as a critical topic of interest in the domain of Human Resource Management (HRM). AI has introduced advanced computing applications that transform how organizations manage human capital, particularly focusing on employee productivity, talent management, and operational efficiency. This research article delves into the multifaceted applications of AI within HR processes, emphasizing how advanced computing systems contribute to workforce productivity improvements. By leveraging AI tools such as machine learning (ML), natural language processing (NLP), predictive analytics, and robotic process automation (RPA), organizations can automate routine tasks, optimize decision-making, and personalize employee development programs. This paper offers a comprehensive analysis of AI's potential to revolutionize workforce productivity, including the role of AI in recruitment, performance management, employee engagement, and workforce planning. Through a detailed exploration of various AI models and their applications, this research identifies the key mechanisms by which AI enhances productivity and provides insights into the opportunities and challenges associated with AI adoption in HRM. Additionally, this paper addresses ethical concerns related to data privacy, algorithmic bias, and the potential displacement of jobs due to AI-driven automation. In conclusion, the paper argues that AI has the potential to be a transformative force in HRM, provided that organizations implement these technologies ethically and responsibly. The discussion culminates in a forward-looking perspective on the future of AI in HR and its long-term impact on workforce productivity.
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Copyright (c) 2023 Journal of Advanced Computing Systems
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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.