Sakshi Chauhan
Papers
2
Total Citations
6
H-Index
2
About
Sakshi Chauhan is a pioneering researcher at the intersection of human-machine interaction and ethical AI, whose work explores how trust and moral reasoning can be embedded into autonomous systems. Her research focuses on two critical areas: building trust in human-robot relationships and integrating ancient philosophical frameworks into machine learning. In her highly cited paper, "Building trust in the age of human-machine interaction: insights, challenges, and future directions" (2025, 3 citations), Chauhan systematically analyzes the foundations of trust—dependability, competence, and sincerity—and translates these human-centric principles into actionable design guidelines for social robots. She further breaks new ground with "Exploring Moral Learning Through Bhagavad Gita: A Comparative Study of Social Robot Interaction and Traditional Reading" (2025, 3 citations), where she uniquely compares how moral lessons from the ancient Indian text can be taught through robot interaction versus conventional reading. This innovative cross-cultural approach demonstrates her commitment to creating AI that is not only technically robust but also culturally and ethically informed. Though early in her career, Chauhan’s work signals a transformative shift toward value-aligned, trustworthy AI systems.
Research Focus
Key Achievements
Top Papers
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