Building Ethical and Secure AI : Principles, Practices, and Challenges for the Next Generation (Synthesis Lectures on Computer Science)

This book aims to provide a comprehensive perspective on the growing challenges posed by artificial intelligence (AI) for researchers and professionals. The book examines critical security issues, such as attacks and vulnerabilities, as well as ethical principles that impact fairness, transparency, accountability, and inclusiveness in AI solutions. Its primary goal is to equip readers with the knowledge and tools necessary to design and govern AI systems that align with the principles of social good, fostering responsible and sustainable innovation in the rapidly evolving AI landscape. This book bridges the fields of ethics and security in AI. It covers foundational principles, practical frameworks, and emerging challenges, equipping students and practitioners with tools to design and govern ethical and secure AI systems. With case studies, activities, and real-world examples, the book emphasizes responsible AI applications in fields such as healthcare, sustainability, and cybersecurity.