This book aims to provide a comprehensive exploration of the ethical considerations within the domains of Security, Artificial Intelligence, Agriculture and Data Science. The publication will examine critical ethical issues in agriculture and engineering such as bias and fairness in Evolving Landscape of Cybersecurity: Social Engineering Perspectives, transparency and explainability of algorithms, data privacy and consent, accountability in AI systems, and the broader societal implications of AI and data science. This book has a significant impact on the research community by consolidating and advancing the discourse on AI and data science ethics. The book will contribute to the ongoing dialogue on ethical AI and data practices, helping researchers develop a deeper understanding of the challenges and ethical considerations that are increasingly vital in their work. The primary audience for this book includes researchers and academics in the fields of Agriculture, cyber security, artificial intelligence, data science, computer science, and ethics. It will also be a valuable resource for graduate and postgraduate students studying these disciplines. book will be of interest to professionals and practitioners working in the tech industry, data analytics, and AI development. It offers a guide to developing AI and data science solutions that not only perform well but also align with ethical standards and societal values. Additionally, policymakers, government officials, and organizations concerned with the regulatory and ethical aspects of AI and data science will find this book valuable in shaping policies and guidelines.