Urjani Chakravarty, Ph.D.

Dr. Urjani Chakravarty is an Assistant Professor at the Indian Institute of Management (IIM) Bodh Gaya in India, where she brings expertise in communication studies and linguistics to management education. As a communication scientist, Dr. Chakravarty applies rigorous scientific methods to study how meaning is constructed, negotiated, and transmitted in social interactions—work that is essential for understanding how AI systems communicate and how their integration shapes human discourse patterns. Her interdisciplinary approach bridges communication theory with practical applications in organizational and educational contexts, examining both the technical structures of language and the social dynamics of communication.

Dr. Chakravarty’s research focuses on the intersection of communication and linguistics, with particular emphasis on how language shapes meaning in social and institutional settings. Her expertise in communication theories provides frameworks for understanding how information flows in complex systems, while her work in discourse analysis examines the patterns and structures of language use in educational and professional environments. This combination of theoretical rigor and analytical precision makes her contributions particularly valuable for understanding how AI systems communicate and how their integration affects human interaction patterns.

Prior to her current appointment, Dr. Chakravarty developed her scholarly foundation through rigorous interdisciplinary training that combined humanities perspectives with social science methodologies. Her work is characterized by attention to the nuances of language, the cultural contexts of communication, and the social implications of emerging technologies.

Dr. Chakravarty holds a Ph.D. in Humanities and Social Sciences from the Indian Institute of Technology (IIT) Roorkee, one of India’s premier technical institutions. This background positions her uniquely to contribute to Society & AI’s mission of developing human-centered approaches to artificial intelligence in educational settings, particularly in understanding how AI-mediated communication affects learning and social interaction.