Back to Developing Explainable AI (XAI)
Learner Reviews & Feedback for Developing Explainable AI (XAI) by Duke University
21 ratings
About the Course
As Artificial Intelligence (AI) becomes integrated into high-risk domains like healthcare, finance, and criminal justice, it is critical that those
responsible for building these systems think outside the black box and develop systems that are not only accurate, but also transparent and
trustworthy. This course provides a comprehensive introduction to Explainable AI (XAI), empowering you to develop AI solutions that are aligned
with responsible AI principles. Through discussions, case studies, and real-world examples, you will gain the following skills: 1. Define key XAI
terminology and concepts, including interpretability, explainability, and transparency. 2. Evaluate different interpretable and ...
responsible for building these systems think outside the black box and develop systems that are not only accurate, but also transparent and
trustworthy. This course provides a comprehensive introduction to Explainable AI (XAI), empowering you to develop AI solutions that are aligned
with responsible AI principles. Through discussions, case studies, and real-world examples, you will gain the following skills: 1. Define key XAI
terminology and concepts, including interpretability, explainability, and transparency. 2. Evaluate different interpretable and ...
Top reviews
Filter by:
1 - 4 of 4 Reviews for Developing Explainable AI (XAI)
By stanley c
•Dec 20, 2024
Well designed, was as detailed as possible within the time and limits of delivery. Enjoyed the course and sparked my interest to pursue this direction further in my postgrad research ... Thank you Duke and Dr. Bent
By Yevhen S
•Jan 22, 2025
It's topic, which often forgotten, but as we use more of AI we need that, Awesome explanations.
By hariharan g
•Jan 7, 2025
strong foundational course - relevant to todays industry
By NATWAR U
•Dec 21, 2024
So helpful in understanding the future!