Buch, Englisch, 458 Seiten, Format (B × H): 156 mm x 234 mm
The Executive Playbook for Safe and Responsible AI
Buch, Englisch, 458 Seiten, Format (B × H): 156 mm x 234 mm
ISBN: 978-1-041-13529-6
Verlag: Taylor & Francis Ltd
AI and Cyber Governance: The Executive Playbook for Safe and Responsible AI is a book researched and written by cyber experts Ariel Evans and Ajay Singh with contributions from leading from Cyber Intelligence4U including top CISOs, CIOs, CTOs, DPOs, and cyber attorneys to help businesses prepare for the safe and intelligent use of AI.
The book is a comprehensive playbook that bridges the gap between the complex world of artificial intelligence and its practical applications for business. Covering regulation requirements, governance, cyber controls, explainability, and privacy in easy-to-understand language, it is an essential resource to navigate and address the opportunities, complex challenges, and responsibilities associated with AI technologies and provides a roadmap for businesses to implement a safe AI program. Each area is explored from a business perspective to allow the reader to understand how this relates to their role in a company and to harness the power of AI in their respective fields and concludes with a section on how to create a step-by-step AI program. In addition, real-life examples of the challenges that any business needs to address as it rolls out AI-based applications are presented throughout.
This book will empower readers, whether they are IT professionals, tech enthusiasts, business leaders, or students, with the necessary knowledge and insights to create a safe and responsible AI program.
Zielgruppe
Postgraduate and Professional Practice & Development
Autoren/Hrsg.
Weitere Infos & Material
Preface
Acknowledgements
Section I The Importance of Definitions in AI
Chapter 1 Why Definitions Matter in AI
Chapter 2 AI Terminology & Definitions for Non-Technical Readers
Chapter 3 Challenges in Defining AI Concepts
Chapter 4 The Future: Standardizing AI Definitions
Section II AI Regulations: A Global Overview
Chapter 5 Key AI Regulations and Frameworks
Chapter 6 Common Themes in AI Regulation
Chapter 7 Cybersecurity and AI Regulatory Use Cases
Section III AI and Governance — Balancing Innovation and Regulation
Chapter 8 Key Aspects of AI Governance
Chapter 9 AI Governance Framework Models
Chapter 10 Best Practices in AI Governance
Chapter 11 The Future of AI Governance
Section IV AI and Cyber Controls: Strengthening Security & Mitigating Threats
Chapter 12 AI and Cybercrime
Chapter 13 AI in Cybersecurity
Chapter 14 Cyber Risks Posed by AI
Chapter 15 Cyber Security Controls for AI
Chapter 16 Control Frameworks for AI
Chapter 17 AI Risk Assessment Framework
Chapter 18 AI Applications in Business — From ChatGPT to Copilot: Cybersecurity Concerns
Chapter 19 The Future of AI Cybersecurity
Section V AI and Explainability: Understanding the Black Box
Chapter 20 Why Explainability Matters in AI
Chapter 21 Types of AI Explainability
Chapter 22 Challenges in Explainability
Chapter 23 Explainability Methods & Tools
Chapter 24 Regulations and Explainability Standards
Chapter 25 The Future of AI Explainability
Section VI AI and Privacy — Protecting Data in the Age of Intelligent Systems
Chapter 26 Data Collection & Consent
Chapter 27 Data Security & Anonymization
Chapter 28 Surveillance and Ethical Considerations
Chapter 29 AI and User Control
Chapter 30 AI in Social Media and Advertising
Chapter 31 Emerging Solutions for Trustworthy AI
Section VII Organizational Alignment
Chapter 32 The Role of the Chief Technology Officer (CTO) in Cybersecurity and AI
Chapter 33 Cybersecurity and AI Legal Team Roles
Chapter 34 The Role of IT Governance and the Chief Data Officer in AI Introduction
Chapter 35 The Role of the Cyber Team
Chapter 36 Cybersecurity and AI Roles in the Evolving IT Landscape
Chapter 37 Cybersecurity and AI Compliance Team Roles
Chapter 38 The Role of the CPO and Privacy Team
Chapter 39 Cybersecurity and AI Project Management Roles
Chapter 40 AI in HR and Training
Chapter 41 From Principles to Practice — The Enterprise AI Governance Playbook
