About the lecture 

Generative AI is transforming both academia and industry, with companies and startups racing to incorporate these tools into their products. But how safe are these systems, and what risks do they pose? 

This talk examines the limitations and vulnerabilities of GenAI models, from bias and misinformation to privacy and ethical issues, and discusses principles and practices for using these tools responsibly. It aims to help participants engage with GenAI thoughtfully, striking a balance between innovation and responsibility.

About the speaker

Balaraman Ravindran is the founding head of the Wadhwani School of Data Science and AI, the Robert Bosch Centre for Data Science and AI, and the Centre for Responsible AI (CeRAI) at IIT Madras. With over three decades of experience in machine learning and reinforcement learning, he is one of India’s leading voices in ethical and responsible AI research. His current work spans deep reinforcement learning, algorithmic fairness, and AI governance.

He serves on the Government of India’s advisory group on AI and was part of the committee that authored the FREE-AI report for the Reserve Bank of India. He has collaborated extensively with global research institutions and industry partners to promote trustworthy and context-sensitive AI systems.

Prof. Ravindran is a Fellow of the Indian National Academy of Engineering (INAE) and the Association for the Advancement of Artificial Intelligence (AAAI), and is widely recognised for his leadership in advancing AI research and education in India.