OFFRE LISEUSES
Une liseuse achetée = une housse offerte* jusqu'au 21 juin
Explainable AI for Non-Engineers. The CyberInsider Executive Series, #15
Par :Formats :
Disponible dans votre compte client Decitre ou Furet du Nord dès validation de votre commande. Le format ePub est :
- Compatible avec une lecture sur My Vivlio (smartphone, tablette, ordinateur)
- Compatible avec une lecture sur liseuses Vivlio
- Pour les liseuses autres que Vivlio, vous devez utiliser le logiciel Adobe Digital Edition. Non compatible avec la lecture sur les liseuses Kindle, Remarkable et Sony
, qui est-ce ?Notre partenaire de plateforme de lecture numérique où vous retrouverez l'ensemble de vos ebooks gratuitement
Pour en savoir plus sur nos ebooks, consultez notre aide en ligne ici
- FormatePub
- ISBN8232617851
- EAN9798232617851
- Date de parution01/01/2026
- Protection num.pas de protection
- Infos supplémentairesepub
- ÉditeurDraft2Digital
Résumé
As artificial intelligence increasingly influences critical business and legal decisions, leaders can no longer accept "black box" models without explanation. Explainable AI for Non-Engineers provides executives, legal teams, and risk leaders with a clear and practical guide to understanding, demanding, and evaluating AI explanations. This book explains why explainability matters for accountability, compliance, and trust-and how it differs across use cases such as credit decisions, healthcare, hiring, and automated risk scoring.
It focuses on what non-technical decision-makers must know to govern AI responsibly. Readers will learn:. What explainable AI really means in practical terms. Which explanations boards and regulators should expect. How to assess explanations provided by AI vendors. How explainability supports legal defensibility and audit readiness. When explainability is mandatory versus optional. How to embed explanation requirements into governance frameworksWritten in a clear and educational tone, this book equips non-engineers with the confidence to challenge opaque AI systems and demand explanations that support informed, defensible decisions.
It focuses on what non-technical decision-makers must know to govern AI responsibly. Readers will learn:. What explainable AI really means in practical terms. Which explanations boards and regulators should expect. How to assess explanations provided by AI vendors. How explainability supports legal defensibility and audit readiness. When explainability is mandatory versus optional. How to embed explanation requirements into governance frameworksWritten in a clear and educational tone, this book equips non-engineers with the confidence to challenge opaque AI systems and demand explanations that support informed, defensible decisions.






















