Frontiers of Artificial Intelligence, Ethics and Multidisciplinary Applications – serie

With the decline and fall of U.S. global leadership and the emergence of new powerful actors, as hastened by the global pandemic, new arms are now used in new forms of wars with new players.

With the decline and fall of U.S. global leadership and the emergence of new powerful actors, as hastened by the global pandemic, new arms are now used in new forms of wars with new players.

This edited volume provides a structured analysis of AI governance principles, challenges, and implementation strategies. Drawing on interdisciplinary perspectives and global case studies, the volume offers actionable insights for policymakers, industry leaders, and academics.The book is organized into four parts, each addressing critical dimensions of AI governance and policy. Part I lays the foundational understanding of AI from a policy and governance perspective. Part II examines the positive potential of AI, focusing on how standardization, talent cultivation, and global cooperation can enable AI to address pressing global challenges. Part III addresses the ethical, legal, and security challenges AI poses. It provides a critical analysis of the risks associated with AI deployment, including issues related to warfare, disinformation, and regulatory gaps. Part IV focuses on the necessity of international cooperation and the development of global governance frameworks for AI.This book serves as a foundational resource for stakeholders seeking to understand and navigate the complexities of AI governance.

This book navigates the intricate landscape of artificial intelligence (AI) integration, exploring its ethical dimensions and interdisciplinary engagements. Spanning sectors such as engineering, health care, robotics, industry, law, economics, education, transportation, and multimedia, it transcends mere technicalities. Embracing a multidisciplinary approach, the book sheds light on AI's transformative potential and practical implications. By blending theoretical underpinnings with real-world case studies, it offers a nuanced understanding of AI and its applications. Covering machine learning, natural language processing, computer vision, data analytics, and robotics and control, it equips researchers, professionals, and enthusiasts with the tools to navigate the evolving AI landscape responsibly.

This proceedings volume presents 41 high-quality research contributions at the forefront of soft computing theory and applications and real-world impact. The third volume from this conference, its chapters reflect the current trajectory of soft computing research, covering advances in machine learning, neural networks, fuzzy systems, nature-inspired algorithms, and big data analytics. Applications discussed range across critical domains such as healthcare, education, legal systems, cybersecurity, environmental monitoring, and industrial automation. Noteworthy contributions include studies on smart assistive devices for Alzheimer’s patients, intelligent classification of recycled materials, and AI-based criminal face detection systems. On the theoretical side, the volume includes novel algorithmic developments such as the Shuffled Flamingo Search Algorithm and structural insights into swarm-based optimisation.The volume illustrates how soft computing continues to address complex real-world problems through adaptive, scalable, and human-centric approaches. It also captures the spirit of interdisciplinary engagement, with contributions from early-career researchers alongside seasoned academics, enriching the community’s collaborative potential. This book will be of interest to researchers, engineers, practitioners, and postgraduate students working in artificial intelligence, optimisation, and computational intelligence, particularly those interested in the translational impact of soft computing across diverse sectors.

This book discusses how Artificial Intelligence developments have revolutionized the area of medicine and how companies use them to develop applications.

This book discusses how Artificial Intelligence developments have revolutionized the area of medicine and how companies use them to develop applications.

This book examines the fundamental concepts and principles of digital transformation and AI, including their historical development, and underlying technologies, and analyzes the opportunities arising from digital transformation and AI in different sectors, such as healthcare, finance, education, transportation, and governance.

This book compiles artificial intelligence (AI) applications in new communication technologies such as the cognitive radio networks, internet of things (IoT), internet of drones (IoD), internet of vehicles (IoV), and autonomous underwater vehicles (AUV), which are expected to increase the amount of data traffic.

This book compiles artificial intelligence (AI) applications in new communication technologies such as the cognitive radio networks, internet of things (IoT), internet of drones (IoD), internet of vehicles (IoV), and autonomous underwater vehicles (AUV), which are expected to increase the amount of data traffic. Recognizing that AI is revolutionizing industries with its applications and helping us solve complex problems with ease, the book tackles a variety of industries and sectors such as agriculture, logistics, infrastructure, manufacturing, education, disaster management, transport, surveillance, and more. Contributions included in the book are useful for students, engineers (disciplines like telecommunication, mechanical and computer science, etc.), teachers, people studying and working for strategic, tactical and operational management. It is also useful for data scientists and anyone else who wants to have an insight into the impact of artificial intelligence on various industries. Due to its focus on healthcare and agriculture, the horizon of the book is enhanced to include healthcare industry personnels and agriculture sector. Additionally, it provides guidance for government personnel who are working towards system upgradation for managing dynamic traffic demands.

This book is a comparative study of the laws and regulations involving legal and ethical issues related to Artificial Intelligence (AI), in particular for self-driving cars or autonomous vehicles (AVs).

Structured into four parts: Part 1: Artificial Intelligence (AI), explores evolving deep neural networks, reinforcement learning, and explainable AI, providing a deep dive into the technical foundations of AI advancements.