ENCHANCING THE EFFICIENCY OF HUMAN RESOURCE MANAGEMENT THROUGH A.I
Abstract
With the rapid development of the Information Technology industry, Artificial Intelligence (AI) and Machine Learning (ML) are becoming the most popular keywords in the modern world. Companies around the world as well as in Vietnam have been finding powerful applications of Artificial Intelligence in their daily operation, especially in human resource management and development. AI application not only helps organizations to optimize their processes and increase performance, but also creates a flexible working environment and a better experience for employees. However, along with those benefits, the application of AI also creates new challenges, requiring organizations to consider and prepare carefully before applying new technology. This article will delve into the benefits and challenges of applying AI in human resource management, thereby helping businesses form and develop appropriate strategies in the future.
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References
Agarwal S. (2023), “Overwhelmed by Email? How AI Tools Can Get You to Inbox Zero”, The Wall Street Journal, https://www.wsj.com/tech/ai/email-ai-tools-inbox-zero-72a8ac3f.
Alster K. (2023), “Why and How To Use AI for Training and Development”, https://www.synthesia.io/post/why-and-how-to-use-ai-for-training-and-development.
AltaFlux Corporation (2023), “Leveraging Artificial Intelligence in SAP SuccessFactors: Opportunities and Challenges”, https://www.linkedin.com/pulse/leveraging-artificial-intelligence-sap-successfactors/.
Chaudhari S. (2020), “A closer look at the AI behind course recommendations on LinkedIn Learning, Part 1”, https://www.linkedin.com/blog/engineering/learning/course-recommendations-ai-part-one.
Gartner (2019), “Gartner Predicts 75% of Large Organizations Will Hire AI Behavior Forensic Experts to Reduce Brand and Reputation Risk by 2023”, https://www.gartner.com/en/newsroom/press-releases/2019-06-06-gartner-predicts-75--of-large-organizations-will-hire.
GDPR Info (n.d.), “General Data Protection Regulation (GDPR)”, https://gdpr-info.eu/.
Gorelov Z. (2024), “The Latest Trend In AI: What Is A Copilot?”, https://www.forbes.com/sites/forbestechcouncil/2024/01/12/the-latest-trend-in-ai-what-is-a-copilot/.
Hiter S. (2024), “20 Top Generative AI Companies Leading In 2024”, https://www.eweek.com/artificial-intelligence/generative-ai-companies/.
JANZZ.technology (2019), “The potential of AI in human resource management”, https://janzz.technology/the-potential-of-ai-in-human-resource-management/.
McKinsey (2023), “What is AI”, https://www.mckinsey.com/featured-insights/mckinsey-explainers/what-is-ai.
Mohanty S. (2023), “Algorithmic HR Planning (AHRP): Just a new name or an emerging trend in HRM?”, https://www.linkedin.com/pulse/algorithmic-hr-planningahrp-just-new-name-emerging-trend-s-mohanty/.
Payne B. (2024), “Revolutionizing Recruitment: Pioneering Companies Harnessing AI for Talent Acquisition”, https://www.gem.com/blog/companies-using-ai-for-recruitment.
Phenom & TalentBoard (2023), “The State of Automated Interview Management: 2023 Survey Report”.
Riley T. (2018), “Google’s newest push to radically improve the online job hunt for millions of Americans”, https://www.cnbc.com/2018/08/01/google-job-search-is-using-ai-to-make-job-searching-a-whole-lot-easier.html.
Scanlon S. et. al. (2018), “How Artificial Intelligence is Changing the Culture of Work”, https://huntscanlon.com/how-artificial-intelligence-is-changing-the-culture-of-work/.
Strauss L. (2023), “Intelligent automation: What it is and how to apply it”, https://zapier.com/blog/intelligent-automation/.
Vietnam Briefing (n.d.), “Vietnam's Personal Data Protection Decree: A Quick Guide”, https://www.vietnam-briefing.com/news/vietnams-personal-data-protection-decree-a-quick-guide.html.
Visionify (2022), “The Future of Emotion Recognition in Machine Learning and AI”, https://visionify.ai/the-future-of-emotion-recognition-in-machine-learning-and-ai/.
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