English | December 17th, 2024 | ISBN: 1394279264 | 380 pages | PDF
Generative AI (GenAI) is driving unprecedented advances in threat detection, risk analysis, and response strategies. However, GenAI technologies such as ChatGPT and advanced deepfake creation also pose unique challenges.
Incorporating numerous real-world examples and case studies that connect theoretical concepts with practical applications, Generative AI, Cybersecurity, and Ethics
• Explains the various types of cybersecurity and describes how GenAI concepts are implemented to safeguard data and systems
• Highlights the ethical challenges encountered in cybersecurity and the importance of human intervention and judgment in GenAI
• Describes key aspects of human-centric AI design, including purpose limitation, impact assessment, societal and cultural sensitivity, and interdisciplinary research
• Covers the financial, legal, and regulatory implications of maintaining robust security measures
• Discusses the future trajectory of GenAI and emerging challenges such as data privacy, consent, and accountability
