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This lecture from NPTEL-NOC IITM explores key concepts in responsible AI development, covering AI capabilities, bias, interpretability, and explainability. Learn about Reinforcement Learning from Human Feedback (RLHF), alignment techniques, and potential AI risks in this 26-minute session. Access comprehensive lecture materials through the provided Google Drive link to deepen your understanding of ethical considerations in artificial intelligence implementation.
