Responsible AI: Capabilities, Bias, Interpretability, and Alignment - Part 1

This lecture from NPTEL-NOC IITM explores the fundamental concepts of Responsible AI, covering AI capabilities, bias issues, interpretability, and explainability in AI systems. Learn about Reinforcement Learning from Human Feedback (RLHF), AI alignment challenges, and potential AI risks in this 33-minute session. Access comprehensive lecture materials through the provided Google Drive link to deepen your understanding of ethical considerations in artificial intelligence development.