『Understanding Artificial Intelligence』のカバーアート

Understanding Artificial Intelligence

Key Questions Answered

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Understanding Artificial Intelligence

著者: Julian Vexley
ナレーター: Kenneth E. Nelson
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このコンテンツについて

Artificial intelligence is no longer confined to science fiction—it’s part of our everyday lives. From smartphone assistants and Netflix recommendations to medical diagnostics and fraud detection, AI is already transforming how we live, work, and connect. But what exactly is AI? How does it work? Can it think like us, or even replace us? And what does it mean for our future?

In Understanding Artificial Intelligence: Key Questions Answered, science communicator Julian Vexley delivers a clear, accessible, and engaging exploration of one of the most powerful and misunderstood technologies of our time. Whether you're a complete beginner or simply curious to separate fact from fiction, this book is your essential guide to understanding how AI works—and why it matters.

Instead of technical jargon or abstract theory, this book answers real questions asked by everyday people—clearly, directly, and without hype. Each chapter tackles a key question and breaks it down using relatable examples, simple explanations, and practical insights. You'll learn not only what AI is and isn’t, but also how it’s created, how it’s already used in your daily life, and how it might shape the world in the years to come.

Topics include:

  • What exactly is artificial intelligence?
  • How do machines learn and get smarter?
  • Can AI think or feel like humans?
  • Is there a risk AI could become conscious or dangerous?
  • Will AI take away human jobs—or create new ones?
  • How is AI already integrated into your everyday experiences?
  • What are the different types of AI, from narrow systems to hypothetical superintelligence?
  • How do developers actually create and train AI?
  • What does the future of AI look like for society, ethics, and innovation?

Vexley guides listeners through these pressing questions with a calm, balanced voice—grounded in current science and real-world applications. Rather than sensationalising AI or downplaying its implications, this book helps listeners understand both its incredible potential and the challenges we must confront to use it responsibly.

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