AI Beyond Black Boxes: Counterfactual Visual Explanations in Deep Learning - Couverture souple

Khan, Bismillah; Zia, Tehseen; Tariq, Ali

Couverture souple

ISBN 10 : 9999326609 ISBN 13 : 9789999326605

Editeur : Eliva Press, 2025

Synopsis

“What if we could trust the decisions made by artificial intelligence as much as we trust a human expert?” In Decoding the Black Box: The Art of Explainable AI, embark on a captivating journey into the heart of AI systems, where transparency meets transformative technology. As artificial intelligence increasingly drives critical decisions—from diagnosing illnesses to managing finances—understanding how and why these decisions are made has become a pressing global challenge. This book unravels the mysteries of AI through engaging explanations and cutting-edge techniques like counterfactual reasoning, interpretable neural networks, and attention visualization. It dives deep into real-world case studies from healthcare, law enforcement, and autonomous systems, showcasing how Explainable AI (XAI) fosters trust, fairness, and accountability. Designed for curious minds, industry professionals, and policymakers alike, Decoding the Black Box bridges the gap between advanced AI systems and human intuition. With accessible writing and thought-provoking insights, this book challenges the status quo, empowering readers to shape a future where AI is not just powerful—but also understandable, ethical, and human-centric. Discover the techniques that will define the next generation of AI and take the first step towards building a world where we no longer fear technology but embrace its potential.

Détails de l'édition

• Éditeur: Eliva Press
• Date d'édition: 2025
• Langue: anglais
• ISBN 10: 9999326609
• ISBN 13: 9789999326605
• Reliure: Broché
• Nombre de pages: 63
• Coordonnées du fabricant: non disponible
• Personne responsable: GPSR Kontakt; gpsr@libri.de; ; Europaallee 1; Bad Hersfeld; 36244; Allemagne