AI AND EMPLOYEE WELLBEING: HOW ARTIFICIAL INTELLIGENCE CAN MONITOR AND IMPROVE MENTAL HEALTH IN THE WORKPLACE

Abstract

This paper explores the integration of Artificial Intelligence (AI) in enhancing employee mental health and well-being in workplace environments. With growing concerns over stress, anxiety, and burnout in the workplace, AI offers novel solutions to monitor, assess, and improve mental health. By leveraging AI technologies such as sentiment analysis, chatbots, virtual assistants, and wearable devices, organizations can detect early signs of stress and burnout, enabling timely interventions. AIs role in providing personalized mental health support, including customized wellness programs and real-time stress management tools, is also discussed. However, the paper highlights key challenges, including data privacy, algorithmic bias, and the ethical implications of continuous employee monitoring. Ethical considerations surrounding employee consent, privacy, and the role of human oversight are crucial to ensuring AIs effectiveness and maintaining trust in its application. Ultimately, the integration of AI in mental health management has the potential to create healthier, more productive workplace environments when coupled with ethical practices and human support systems.