Hear Imagination Flourish Through Audiobook Experiences Designed for Modern Curious Audiences Worldwide
Explainable AI Audiobook by Sam Miley
24 februari 2026
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Title: Explainable AI
Subtitle: Making Machine Intelligence Transparent, Trustworthy, and Understandable for Human Decision-Making
Categories: Computer Science, Technology
Author: Sam Miley
Narrator: Maha Ameer
Publisher: May June
Release date: 02-24-2026
Language: English
Summary:
Build AI systems that don’t just work — they win trust. In today’s fast-moving AI-powered world, accuracy isn’t enough. Whether you’re building models for healthcare, finance, retail, or enterprise software, one thing is clear: if users and stakeholders can’t understand your AI, they won’t trust it. Explainable AI is your practical, results-driven guide to building transparent, trustworthy, and human-friendly AI systems. Packed with real-world examples and proven techniques, this book shows you how to turn black-box models into clear, interpretable tools that users can believe in — and regulators can approve. What you’ll gain from this book: If you want to build AI solutions that people trust, adopt, and love — this is the book that will show you how.
https://audiobookzap.com/free
Title: Explainable AI
Subtitle: Making Machine Intelligence Transparent, Trustworthy, and Understandable for Human Decision-Making
Categories: Computer Science, Technology
Author: Sam Miley
Narrator: Maha Ameer
Publisher: May June
Release date: 02-24-2026
Language: English
Summary:
Build AI systems that don’t just work — they win trust. In today’s fast-moving AI-powered world, accuracy isn’t enough. Whether you’re building models for healthcare, finance, retail, or enterprise software, one thing is clear: if users and stakeholders can’t understand your AI, they won’t trust it. Explainable AI is your practical, results-driven guide to building transparent, trustworthy, and human-friendly AI systems. Packed with real-world examples and proven techniques, this book shows you how to turn black-box models into clear, interpretable tools that users can believe in — and regulators can approve. What you’ll gain from this book: If you want to build AI solutions that people trust, adopt, and love — this is the book that will show you how.
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