Artificial Intelligence (AI) in talent management is a game-changer to Human Resource Management (HRM) as it alters the way organizations attract, retain, develop and engage employees and is one strategic factor in the 21st century. New technologies, like machine learning, natural language processing (NLP), predictive analytics, and generative AI (GenAI), as well as automation have allowed businesses to use large volumes of employee and candidate data to make decisions that are more data-driven, objective, and efficient. Talent management powered by AI can further advance recruitment and selection by automating resume screening, enhancing candidate-job fit, as well as minimizing bias, as well as automated onboarding through AI chatbots and virtual assistants that customize integration. In learning and development, AI facilitates hyper-personalized training, reskilling and upskilling programs that are aligned to both personal career aspiration and organizational objectives, and in performance management, real-time continuous analytics results in a more objective and productive performance review traditionally kept annual. Raising workforce stability, AI-based employee engagement and retention tools utilize sentiment analysis and predictive models to forecast the risks of December 2022 misalignment. The positive impact of workforce planning is associated with the ability to predict the skills that will be needed in the future, matching the human resource capital to the business plans. Although there are gains, there have been some surrounding the ethics, bias, privacy, and transparency, which underline the need to have good governance of AI. Future of work will focus on human-AI collaboration, where the automation will be human intelligence amplifier, creating agile, resilient and ethical workplaces. In that regard AI powered talent management becomes not only a driver of business performance and the answer to the question of how to create the workforce of the future but also an enabler of building the agile, future-ready workforce.
Sarita Murmu (Thu,) studied this question.