THE USE OF ARTIFICIALINTELLIGENCE IN REDUCING AND MANAGEMENT OF STRESS IN WORKPLACE

The integration of Artificial Intelligence (Al) in enhancing employee mental health and well-being in workplace environments has the potential to create healthier, more productive workplace environments when coupled with ethical practices and human support systems. With growing concerns over stress, anxiety, and burnout in the workplace, Al offers novel solutions to monitor, assess, and improve mental health. By leveraging Al technologies such as sentiment analysis, chatbots, virtual assistants, and wearable devices, organizations can detect early signs of stress and burnout, enabling timely interventions. Stress, has found to lead to a spectrum of health problems. Computer aided artificial intelligence systems for diagnosis of stress would enable a more objective and consistent diagnosis and decisions. Al is helpful to examine how (via which activities, methods and capabilities) organizations management in deploying Artificial Intelligence (Al) systems to address stress management. We explore the potential application of Al in stress detection and screening through advanced computational techniques of machine learning algorithms that analyze biomarkers of stress and anxiety.