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This lecture from NPTEL-NOC IITM explores the critical issue of bias in Vision Language Models (VLMs), examining how these AI systems can perpetuate or amplify existing societal prejudices in their visual and textual outputs. Understand the various forms of bias that can manifest in VLMs, their sources, detection methods, and mitigation strategies. Access comprehensive lecture materials through the provided Google Drive link to deepen your understanding of this important ethical challenge in artificial intelligence development.