AI Management Framework : Practical Solutions for Ethical AI Deployment and Continuous Improvement / by John Kyriazoglou.

Format:

Book

Author/Creator:

Kyriazoglou, John.

Language:

English

Subjects (All):

Technological innovations--Management.

Technological innovations.

Artificial intelligence.

Physical Description:

1 online resource (307 pages)

Edition:

1st ed. 2025.

Place of Publication:

Berkeley, CA : Apress : Imprint: Apress, 2025.

Summary:

In today’s rapidly evolving technological landscape, managing artificial intelligence effectively is crucial for both private-sector companies and public-sector organizations. This book provides a robust and ethical framework to guide you through the complexities of AI deployment and management. This book is your ultimate guide to preparing your organization for AI, developing and operating AI systems, and continuously assessing and improving your AI ecosystem. It introduces a well-tested, practical management system that emphasizes ethical principles and practical solutions. Designed with practicality in mind, this book offers ready-to-use examples and customizable approaches to fit your organization’s unique needs. Whether you are looking to enhance decision-making, improve customer support, or ensure ethical AI practices, this book provides the tools and insights needed to develop, operate, and assess AI systems effectively, regardless of compliance with the ISO AI standard. What You Will Learn: A philosophical framework to ground your AI initiatives. Guidance on navigating AI laws and regulations. A five-phase AI implementation approach covering preparation, management, development, operation, and assessment. Over 31 support tools, including policies, procedures, and ready-made examples of AI plans. Who This Book Is for: The audience of this book includes CIOs, IT Managers and AI Project Managers, IT development staff, AI and data science professionals, cybersecurity professionals, auditors (IT, Internal, External, etc.), CISOs and corporate security managers, HR managers and staff, compliance and data protection officers, and anyone else interested in using or operating AI systems.

Contents:

Part 1: Foundation

Chapter 1: AI Management System

Part 2: AI Ethics Framework

Chapter 2. The Seven Ancient Greek Wisdom Principles

Chapter 3: Corporate Philosophy Statements and Policies

Part 3: AI Regulations and Standards

Chapter 4: AI Global Standards and Guidelines

Chapter 5: Major Data Protection Laws and Privacy by Design Framework Principles

Chapter 6: Digital and Secure AI System Development Guidelines

Part 4: AI Infrastructure Management

Chapter 7: Prepare the Organization for AI

Chapter 8: Establish AI Governance Framework

Chapter 9: Establish Data Governance Framework

Chapter 10: Manage IT Governance & Privacy Controls

Part 5: AI Systems Development and Operations

Chapter 11: Develop AI Systems

Chapter 12: Operate AI Systems

Part 6: AI Infrastructure and Systems Assessment

Chapter 13: Develop AI Infrastructure and Systems audit process

Chapter 14: Assess Corporate Governance and HR Management Issues

Chapter 15: Assess AI Governance and AI Data Management Issues

Chapter 16: Assess AI Models and AI System Development Issues

Chapter 17: Assess AI System Operation Issues

Chapter 18: Assess IT Governance Issues.

Other Format:

Print version: Kyriazoglou, John AI Management Framework

ISBN:

9798868815362

OCLC:

1530784781