Soumyajit De's research interest is on the impact of algorithmic biases in HR practices. Specifically, he is interested in studying 1. how social biases get incorporated into HR algorithms and manifest themselves through algorithmic operations, and 2. how algorithmic decision-making impacts hiring and recruitment outcomes.
Soumyajit De holds a B.S. in Chemistry from the University of Delhi and an M.A. in Sociology from Pondicherry University. His research explores how algorithms function within socio-technical systems, specifically focusing on their role in organizational processes such as recruitment, performance evaluation, and resource allocation. He investigates the interactions between human actors, organizational structures, and algorithmic technologies, emphasizing that algorithms are not merely passive tools but active agents shaping and being shaped by organizational norms, human agency, and social dynamics. He also examines how managers and employees interact with algorithms, exploring their reactions and collaborative practices to see how varying degrees of human-algorithm interaction influence perceptions of transparency and accountability.
M.A. (2023), Pondicherry University, Sociology
B.S. (2021), University of Delhi, Physical Sciences with Chemistry