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This lecture explores the concept of bias in AI systems, focusing on evaluation methods like stereoset and crowS pairs, as well as Auto Debias techniques for mitigating bias in machine learning models. Learn about the challenges of identifying and addressing various forms of bias in artificial intelligence through practical examples and methodologies. The 37-minute session includes supplementary lecture materials available through the provided Google Drive link.
