Uploaded August 2026 | Updated September 2026, 1 week ago
Artificial Intelligence Governance, Risk, and Compliance: Ensuring Trust, Security, and Ethics in AI-Based System by Dr. Kellep A. Charles AIGP CISSP
amazon.com/Artificial-Intelligence-Governance-Risk-Compliance/dp/B0GYJD5D6X
Kellepcharles.com
Artificial Intelligence is rapidly changing many industries, but with its power comes responsibility. "AI Governance: Ensuring Trust, Security, and Ethics in AI-Based Systems" is your guide to navigating the challenges of responsible AI development and deployment.
Written by cybersecurity expert Dr. Kellep A. Charles, this essential resource connects AI innovation with ethical practices. Whether you are a cybersecurity professional, data scientist, business leader, policymaker, or student, this book offers practical frameworks for managing AI risks, ensuring compliance, and creating trustworthy systems.
Inside, you'll find:
Foundational AI concepts and the development of machine learning technologies
Insights into agentic AI systems, including their benefits, risks, and governance needs
Real-world applications of the NIST AI Risk Management Framework
Strategies for managing the entire AI development lifecycle
Practical threat modeling and security testing methods for AI systems
Techniques for data governance, privacy protection, and reducing bias
Current laws, standards, and regulations such as GDPR and the EU AI Act
Step-by-step guidance for creating AI cybersecurity frameworks
Protocols for incident response, monitoring, and maintaining deployed AI systems
Tools, certifications, and organizational resources for AI security testing
What makes this book unique? It includes real-world case studies, detailed checklists, sample governance policies, and templates for assessing AI impact. This book turns abstract AI ethics into concrete action plans. It addresses critical risks like model poisoning, adversarial attacks, data protection, and algorithmic fairness, providing practical strategies for mitigation.
It is ideal for professionals seeking AIGP certification, organizations establishing AI governance programs, or anyone dedicated to responsible AI innovation. The book offers easy-to-understand explanations for non-technical readers while delivering the depth that practitioners need.
Create AI systems that are powerful yet transparent, accountable, and aligned with human values. In a time when AI failures can have serious consequences, this book shows you how to ensure AI serves everyone safely and ethically. Learn to manage AI before it manages you.
Artificial Intelligence Governance, Risk, and Compliance: Ensuring Trust, Security, and Ethics in AI-Based System by Dr. Kellep A. Charles AIGP CISSP
amazon.com/Artificial-Intelligence-Governance-Risk-Compliance/dp/B0GYJD5D6X
Kellepcharles.com
Artificial Intelligence is rapidly changing many industries, but with its power comes responsibility. "AI Governance: Ensuring Trust, Security, and Ethics in AI-Based Systems" is your guide to navigating the challenges of responsible AI development and deployment.
Written by cybersecurity expert Dr. Kellep A. Charles, this essential resource connects AI innovation with ethical practices. Whether you are a cybersecurity professional, data scientist, business leader, policymaker, or student, this book offers practical frameworks for managing AI risks, ensuring compliance, and creating trustworthy systems.
Inside, you'll find:
Foundational AI concepts and the development of machine learning technologies
Insights into agentic AI systems, including their benefits, risks, and governance needs
Real-world applications of the NIST AI Risk Management Framework
Strategies for managing the entire AI development lifecycle
Practical threat modeling and security testing methods for AI systems
Techniques for data governance, privacy protection, and reducing bias
Current laws, standards, and regulations such as GDPR and the EU AI Act
Step-by-step guidance for creating AI cybersecurity frameworks
Protocols for incident response, monitoring, and maintaining deployed AI systems
Tools, certifications, and organizational resources for AI security testing
What makes this book unique? It includes real-world case studies, detailed checklists, sample governance policies, and templates for assessing AI impact. This book turns abstract AI ethics into concrete action plans. It addresses critical risks like model poisoning, adversarial attacks, data protection, and algorithmic fairness, providing practical strategies for mitigation.
It is ideal for professionals seeking AIGP certification, organizations establishing AI governance programs, or anyone dedicated to responsible AI innovation. The book offers easy-to-understand explanations for non-technical readers while delivering the depth that practitioners need.
Create AI systems that are powerful yet transparent, accountable, and aligned with human values. In a time when AI failures can have serious consequences, this book shows you how to ensure AI serves everyone safely and ethically. Learn to manage AI before it manages you.
