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Learner Reviews & Feedback for Developing Explainable AI (XAI) by Duke University
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 explainable approaches, understanding their trade-offs and applications.
3. Integrate XAI explanations into decision-making processes for enhanced transparency and trust.
4. Assess XAI systems for robustness, privacy, and ethical considerations, ensuring responsible AI development.
5. Apply XAI techniques to cutting-edge areas like Generative AI, staying ahead of emerging trends.
This course is ideal for AI professionals, data scientists, machine learning engineers, product managers, and anyone involved in developing or deploying AI systems. By mastering XAI, you'll be equipped to create AI solutions that are not only powerful but also interpretable, ethical, and trustworthy, solving critical challenges in domains like healthcare, finance, and criminal justice.
To succeed in this course, you should have experience building AI products and a basic understanding of machine learning concepts like supervised learning and neural networks. The course will cover explainable AI techniques and applications without deep technical details.
Top reviews
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1 - 3 of 3 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 hariharan g
•Jan 7, 2025
strong foundational course - relevant to todays industry
By NATWAR U
•Dec 21, 2024
So helpful in understanding the future!