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Neuro-Symbolic AI

You're reading from   Neuro-Symbolic AI Design transparent and trustworthy systems that understand the world as you do

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Product type Paperback
Published in May 2023
Publisher Packt
ISBN-13 9781804617625
Length 196 pages
Edition 1st Edition
Concepts
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Authors (2):
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Alexiei Dingli Alexiei Dingli
Author Profile Icon Alexiei Dingli
Alexiei Dingli
David Farrugia David Farrugia
Author Profile Icon David Farrugia
David Farrugia
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Toc

Table of Contents (12) Chapters Close

Preface 1. Chapter 1: The Evolution and Pitfalls of AI 2. Chapter 2: The Rise and Fall of Symbolic AI FREE CHAPTER 3. Chapter 3: The Neural Networks Revolution 4. Chapter 4: The Need for Explainable AI 5. Chapter 5: Introducing Neuro-Symbolic AI – the Next Level of AI 6. Chapter 6: A Marriage of Neurons and Symbols – Opportunities and Obstacles 7. Chapter 7: Applications of Neuro-Symbolic AI 8. Chapter 8: Neuro-Symbolic Programming in Python 9. Chapter 9: The Future of AI 10. Index 11. Other Books You May Enjoy

Summary

In this chapter, we looked at XAI to understand what it is and why it is so important, especially within the context of black-box AI models. We also saw how, due to the increasing complexity of these models, XAI is somewhat inevitable. Following that, we also looked at various case studies, some of which were rather eye-opening, especially when considering that AI is being augmented in every aspect of our lives. Finally, we presented a non-exhaustive list of XAI methodologies. The models shown were the most popular and representative of various novel approaches in the field of XAI.

In the next chapter, we will look at a new breed of powerful AI models that are also inherently explainable. Because of this, we will look at neuro-symbolic AI and how it promises to address the issues mentioned so far.

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