Generative AI, Cybersecurity, and Ethics

Bechoo Lal

• Publisher: Toronto Academic Press
• eBook ISBN:
  9781834412481
• Year: 2026

The rise of generative AI has redefined how information is created, shared, and secured, presenting both opportunities and ethical dilemmas. As AI systems generate text, images, and code, their implications for cybersecurity and social responsibility become increasingly significant. Generative AI, Cybersecurity, and Ethics examines the intersection of artificial intelligence, data protection, and digital ethics. The book discusses generative models, deepfakes, misinformation risks, and adversarial attacks. It also explores responsible AI development, governance frameworks, and legal considerations. Blending technical understanding with ethical reflection, it equips readers to navigate the evolving challenges of AI innovation while maintaining transparency, accountability, and trust in digital ecosystems.

Table of contents

• Cover
• Title Page
• Copyright
• About the Author
• Brief Contents
• Table of Contents
• List of Figures
• Preface
• CHAPTER 1: INTRODUCTION TO GENERATIVE AI
• CHAPTER 2: FOUNDATIONS OF CYBERSECURITY
• CHAPTER 3: MACHINE LEARNING AND NEURAL NETWORKS
• CHAPTER 4: DEEP LEARNING FOR GENERATION
• CHAPTER 5: AI IN CYBERSECURITY
• CHAPTER 6: ADVERSARIAL MACHINE LEARNING
• CHAPTER 7: DEEPFAKES AND DISINFORMATION IN COMPUTER SCIENCE
• CHAPTER 8: ETHICAL FRAMEWORKS IN AI
• CHAPTER 9: DATA PRIVACY AND GOVERNANCE
• CHAPTER 10: SECURITY IMPLICATIONS OF GENERATIVE AI
• CHAPTER 11: POLICY, REGULATION, AND STANDARDS
• CHAPTER 12: THE FUTURE OF AI, CYBERSECURITY, AND ETHICS
• INDEX
• Back Cover