The growing integration of artificial intelligence (AI) into software engineering is fundamentally changing how systems are developed, deployed, and maintained. Beyond performance and automating processes, AI now influences decision-making in ways that can deeply affect developers and societies. Ensuring that these technologies are used responsibly requires embedding ethical principles throughout software development. By integrating ethical AI practices, developers can create systems that not only advance innovation but also uphold human values. This evolving intersection of ethics and engineering defines the next frontier in responsible technology development. Ethical AI Applications for Software Engineering and Development explores and promotes ethical practices in the development and deployment of AI within software engineering. It offers a diverse and interdisciplinary collection of research, case studies, frameworks, and practical insights focused on responsible AI. Covering topics such as AI, software engineering, and ethical development, this book is an excellent resource for software engineers, AI researchers, data scientists, graduate students, educators, policymakers, industry professionals, and more.