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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

What is XAI?

XAI is a recent field of study that deals with designing AI models that are easier to understand. The need for such a field arose from the fact that, in recent years, there has been a move toward statistical AI since the results obtained from such a system were incredible, not only on a par with humans in most instances but also reaching super-human levels in various applications. Unfortunately, since statistical approaches use probabilities, even though superior, the resulting model is rather hard to read. As such, it is difficult to interpret its correctness in all cases.

For example, if tasked with creating a loan application system, we might devise a set of rules similar to those displayed in Figure 4.1:

Figure 4.1: Rule-based loan application process

Figure 4.1: Rule-based loan application process

These rules are easy to understand, even for someone who is not computer literate. These are usually called rule-based systems, which fall under the symbolic AI paradigms. However...

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