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Explainable AI in Industry - Practical Challenges and Lessons Learned

Offered By: Association for Computing Machinery (ACM) via YouTube

Tags

ACM FAccT Conference Courses Artificial Intelligence Courses Data Science Courses Machine Learning Courses Explainable AI Courses

Course Description

Overview

Explore the practical challenges and lessons learned in implementing Explainable AI in industry settings through this comprehensive tutorial from FAT*2020. Delve into insights shared by experts from Fiddler Labs, LinkedIn, Amazon AWS AI, and other leading tech companies. Gain a deep understanding of the real-world applications, obstacles, and solutions in making AI systems more transparent and interpretable. Learn about cutting-edge techniques, best practices, and case studies that showcase the importance of explainability in various industrial AI deployments. Discover how to bridge the gap between theoretical concepts and practical implementation of Explainable AI in large-scale, production environments.

Syllabus

Explainable AI in Industry: Practical Challenges and Lessons Learned


Taught by

ACM FAccT Conference

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