Explainable AI
Making Machine Intelligence Transparent, Trustworthy, and Understandable for Human Decision-Making
No se pudo agregar al carrito
Add to Cart failed.
Error al Agregar a Lista de Deseos.
Error al eliminar de la lista de deseos.
Error al añadir a tu biblioteca
Error al seguir el podcast
Error al dejar de seguir el podcast
Exclusivo para miembros Prime: ¿Nuevo en Audible? Obtén 2 audiolibros gratis con tu prueba.Compra ahora por $9.07
-
Narrado por:
-
Maha Ameer
-
De:
-
Sam Miley
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:
- Tools like SHAP and LIME to explain predictions clearly
- Strategies to increase model transparency without sacrificing accuracy
- Step-by-step ways to meet compliance, reduce risk, and gain user buy-in
- Industry case studies that prove explainability is a competitive advantage
- Insights that make your AI smarter and more responsible
If you want to build AI solutions that people trust, adopt, and love — this is the book that will show you how.
©2026 May June (P)2026 May June