Explainable AI in Industry - Practical Challenges and Lessons Learned

Learn about the practical challenges and lessons learned in implementing Explainable AI in industry. Gain insights from industry experts on the importance of explainability in AI systems and the hurdles faced in real-world applications. Understand the tools and techniques used to make AI models interpretable and transparent. This tutorial adopts a case-study approach to showcase real-world examples and best practices. Ideal for AI professionals, data scientists, machine learning engineers, and anyone interested in the ethical and practical implications of AI in industry.