Arnav Bhavsar

Papers

Total Citations

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About

Arnav Bhavsar is a pioneering researcher at the intersection of artificial intelligence, moral philosophy, and human-robot interaction. His work explores how ancient ethical frameworks can inform modern AI systems, particularly through the lens of the Bhagavad Gita. In his most-cited study, "Exploring Moral Learning Through Bhagavad Gita: A Comparative Study of Social Robot Interaction and Traditional Reading," Bhavsar demonstrates that social robots can effectively transmit complex moral reasoning, achieving comparable learning outcomes to traditional textual study. This groundbreaking research, which has garnered early citations, bridges centuries-old wisdom with cutting-edge robotics, offering a novel pathway for embedding ethical decision-making in autonomous systems. Bhavsar’s contributions are especially significant in the emerging field of value-aligned AI, where his comparative methodology provides a replicable model for integrating cultural and philosophical texts into machine learning curricula. By showing that robots can serve as moral tutors, he challenges assumptions about the limits of artificial empathy and opens new avenues for cross-cultural AI ethics. His work is essential reading for students and researchers interested in the ethical design of social robots, the application of Eastern philosophy to technology, and the future of human-AI collaboration.