AI for the Non-Tech Savvy: 5 Books to Explore the Fascinating World of Artificial Intelligence

Books on AI for non-technical readers

Are you interested in Artificial Intelligence, but don't have a technical background? Do you feel overwhelmed by all the technical jargon used in AI literature? Worry not! There are plenty of books on AI that cater to non-technical readers. Here are some accessible books on AI that you could consider exploring:

1. The Big Nine: How the Tech Titans and Their Thinking Machines Could Warp Humanity

Written by Amy Webb, this book presents a critical view of the influence of AI on society. The author focuses on how the nine tech giants, including Google and Amazon, are shaping the AI revolution and the impact it could have on humanity. The book uses straightforward language and real-world examples to explain complex concepts, making it an excellent choice for non-technical readers.

2. AI Superpowers: China, Silicon Valley, and the New World Order

Kai-Fu Lee's AI Superpowers explores the rise of AI in China and the United States, and how it is transforming the global economic landscape. The book provides a historical context for the AI revolution and its potential impact on society. The author uses relatable language and real-world examples to explain how AI works and the implications of its use.

3. The Hundred-Page Machine Learning Book

If you're looking for a more technical book, but don't have a formal education in computer science or mathematics, The Hundred-Page Machine Learning Book by Andriy Burkov is a great option. The book provides an introduction to machine learning with simple and concise explanations of key concepts. It is specifically designed for readers without a technical background and provides a practical approach for learning about AI.

4. Human Compatible: Artificial Intelligence and the Problem of Control

Stuart Russell's Human Compatible provides an ethical perspective on AI, focusing on the need to create AI that is compatible with human values. The author argues that the development of AI could pose significant risks if designed without careful consideration of its impact on society. The book is written in plain language, making it accessible to non-technical readers.

5. Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy

Written by mathematician Cathy O'Neil, this book critiques AI and big data and how they can potentially increase inequality and undermine democracy. The author uses compelling examples to highlight the