AI Explainability 360
Offered By: Association for Computing Machinery (ACM) via YouTube
Course Description
Overview
Dive into a comprehensive 2-hour and 58-minute tutorial on AI explainability 360, presented at the FAccT (formerly FAT*) 2020 conference in Barcelona. Explore the intricacies of explainable AI through the lens of IBM researchers Vijay Arya, Amit Dhurandhar, and Dennis Wei, along with their collaborators. Gain insights into the AIX360 toolkit, designed to enhance transparency and interpretability in AI systems. Access accompanying slides and additional resources to deepen your understanding of AI explainability techniques. Discover practical applications and methodologies for implementing explainable AI in various domains, and learn how to address ethical concerns in AI development. Enhance your skills in creating more transparent and accountable AI systems through this in-depth exploration of the AIX360 framework.
Syllabus
AI explainability 360 (full tutorial)
Taught by
ACM FAccT Conference
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