Loading...
Bhagyashree Dabi is the Principal of the School of Hospitality & Tourism Studies at D Y Patil Deemed to be University, Nerul, Navi Mumbai, India. Her professional interests include academic leadership, education, and institutional development. She contributes to the application of Agentic AI for faculty stress prediction and workplace well-being.
Academics in tertiary education function within intricate professional settings that encompass instruction, research, administration, student engagement, assessment, publication obligations, and institutional duties. Such demands may lead to occupational stress and affect workplace wellness, productivity, involvement, and job contentment. Agentic Artificial Intelligence (Agentic AI) offers a novel methodology for the ongoing assessment of pertinent workplace metrics, recognising possible stress trends, forecasting alterations in well-being, and delivering tailored decision assistance. In contrast to traditional prediction models that mainly produce a stress score, agentic systems are capable of synthesising various analytical frameworks, contextual data, historical trends, and institutional assets to facilitate adaptive actions. A multi-agent framework encompassing workload, sentiment, well-being, recommendation, and institutional-support agents is examined. The significance of privacy, equity, transparency, consent, data management, cybersecurity, and human supervision is highlighted due to the involvement of sensitive personal data in workplace analytics. The presentation also includes assessment techniques, obstacles, and prospective pathways related to multimodal intelligence, federated learning, and individualised well-being agents.