Artificial intelligence and sustainable human resource management: Technologies, applications, and future directions
Abstract
A digital transformation of organizations has spawned a pressing necessity to incorporate Artificial Intelligence, Sustainable Human Resource Management, and organizational sustainability to deal with the challenges pertaining to resilience of the workforce, environmental responsibility, and ethical decision-making. Although there is an increased literature concerning AI-based HRM, current literature is still very scattered which has limited synthesis of technologies, applications and future research within the framework of Green HRM, HR analytics and ESG-oriented human resource practices. The purpose of the study is to examine the literature on Artificial Intelligence and Sustainable Human Resource Management. A thorough review of the literature was carried out concerning digital HRM, predictive analytics, machine learning in HR, ethical AI, and sustainable workforce management. The review shows that intelligent recruitment systems, people analytics, HR automation, and AI-based performance management are changing the role of HR functions that allow the use of data in decision-making and assist in achieving Sustainable Development Goals by making better use of resources and promoting employee welfare. Nevertheless, the issue of algorithmic bias, AI governance, privacy, and responsible AI can still be seen as a major obstacle to the sustainable implementation. The recent developments like Industry 5.0, collaboration between humans, and AI, and AI-assisted ESG practices demonstrate that the human-centric and sustainable HR model is turning more human-based and sustainable. The results offer a synthesized model of association between Artificial Intelligence, Sustainable HRM, and organizational sustainability, and gives insights into future studies on ethical AI, talent analytics, and workforce sustainability in the changing digital workplace.
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References
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