YoVDO

AI Explainability 360 - First Half of the Tutorial

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

Tags

Explainable AI Courses Algorithmic Bias Courses Fairness in AI Courses Ethical AI Courses

Course Description

Overview

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.

Syllabus

AI Explainability 360 (First half of the tutorial)


Taught by

ACM FAccT Conference

Related Courses

Artificial Intelligence Algorithms Models and Limitations
LearnQuest via Coursera
Artificial Intelligence Data Fairness and Bias
LearnQuest via Coursera
Towards an Ethical Digital Society: From Theory to Practice
NPTEL via Swayam
Human Factors in AI
Duke University via Coursera
Identify principles and practices for responsible AI
Microsoft via Microsoft Learn