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Explore the first half of a comprehensive tutorial on AI Explainability 360, presented at FAT*2020 in Barcelona. Delve into the world of explainable AI with experts Vijay Arya, Amit Dhurandhar, and Dennis Wei, along with contributions from a team of IBM researchers. Learn about cutting-edge techniques and tools designed to enhance the transparency and interpretability of AI systems. Gain valuable insights into the importance of explainability in artificial intelligence and its practical applications. This 1-hour and 32-minute session covers the initial part of the tutorial, providing a solid foundation for understanding AI Explainability 360. Access additional resources and materials through the provided GitHub repository link to further expand your knowledge on this crucial aspect of AI development and implementation.
