Explainable Agency in Artificial Intelligence 1st Edition

Explainable Agency in Artificial Intelligence, 1st Edition, is an essential, forward-looking guide for anyone tackling the practical and ethical challenges of intelligent systems. Clear, concise, and deeply researched, this volume unpacks how autonomous agents make decisions, how those decisions can be made transparent, and why explainability matters for trust, safety, and accountability in AI.

Discover rigorous yet accessible analysis of core topics—agent architectures, causal reasoning, interpretable models, human-AI collaboration, and governance frameworks—presented with real-world examples that resonate across industries. Whether you are an engineer designing adaptive systems, a policymaker drafting regulation, or a researcher exploring XAI theory, the book connects technical detail with practical implications to help you implement explainable, responsible AI.

Read case studies and practical strategies that enhance user understanding, reduce bias, and improve compliance with emerging standards in the US, EU, UK, and global markets. Learn how explainable agency supports better product design, risk assessment, and stakeholder communication—benefits that accelerate adoption and reduce legal and reputational risk.

Packed with actionable insights, this first edition balances scholarly rigor with applied tools to transform how teams build and deploy intelligent agents. It’s both a comprehensive reference and a hands-on manual for advancing ethical, transparent AI across sectors and geographies.

For developers, managers, regulators, and educators aiming to lead with clarity and accountability in artificial intelligence, this book is a must-have resource. Secure your copy today and start shaping AI systems that people can understand, trust, and rely on.

Note: eBooks do not include supplementary materials such as CDs, access codes, etc.