Frontiers of Artificial Intelligence, Ethics and Multidisciplinary Applications – serie

This book discusses the implications of artificial intelligence (AI) on post-COVID-19 international relations. 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. The balance of power swings between geostrategic interests and those linked to the global governance of virtual space and the race to technological sovereignty. Chapters focus on the challenges imposed by these changes on different parts of the international system—law, governance, diplomacy, international psychological security—and articulate new strategies and ethical policies as possible solutions. The volume is interdisciplinary and will appeal to researchers, students, and professionals across fields interested in the ethics of AI in the international system.

This book discusses the implications of artificial intelligence (AI) on post-COVID-19 international relations. 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. The balance of power swings between geostrategic interests and those linked to the global governance of virtual space and the race to technological sovereignty. Chapters focus on the challenges imposed by these changes on different parts of the international system—law, governance, diplomacy, international psychological security—and articulate new strategies and ethical policies as possible solutions. The volume is interdisciplinary and will appeal to researchers, students, and professionals across fields interested in the ethics of AI in the international system.

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 offers a comprehensive examination of the intersection between artificial intelligence (AI), ethics, and governance, addressing the critical need for responsible AI deployment in our rapidly evolving technological society. Through a blend of theoretical insights and practical case studies, the book delves into the current policy frameworks and ethical considerations shaping AI governance. The book adopts a multidisciplinary approach, integrating perspectives from computer science, ethics, law, and public policy to provide a holistic view of the challenges and opportunities in AI governance. This unique approach ensures that readers gain a nuanced understanding of how AI can be developed and deployed responsibly, balancing innovation with societal good. New to this book is its in-depth analysis of emerging AI policies across different regions, offering a comparative perspective that highlights both global trends and local nuances. The authors provide critical reflections on existing governance models, propose actionable recommendations for policy-makers, and explore the implications of AI on fundamental human rights and societal norms. The scope of the book is broad, covering key topics such as algorithmic transparency, data privacy, bias mitigation, accountability, and the socio-economic impacts of AI. It also addresses the ethical dilemmas faced by AI practitioners and the importance of fostering public trust in AI technologies.The expected readership includes policy-makers, academic researchers, industry professionals, and students in the fields of AI, ethics, and public policy. By providing actionable insights and fostering a deeper understanding of AI governance, the book aims to equip these audiences with the knowledge needed to navigate the complex landscape of AI ethics and governance effectively. The book is an essential resource for anyone committed to ensuring that AI technologies are developed and deployed in ways that are ethical, transparent, and beneficial to society.

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. While the book covers the growth of AI in medicine and the early developments in AI based medical tools, it provides an in-depth analysis of the current developments in relation to the area of medical diagnostics. The book focuses on how enterprises and institutes have developed their intellectual property portfolio, particularly patents, in this area. Cross-country patenting analysis helps in understanding key areas of growth in certain markets and also company strategies and arrangements. The introduction of AI based products in market is subject to regulation. The developments in policy and regulation influence the development and deployment of such products into the market. This book brings focus to the development of policy and regulation and how regulatory developments impact the introduction of AI-based healthcare products from a cross-country perspective. Further, how regulatory developments lead to the evolution of standards, build reliability and safety in this area are also examined. The unique aspect of this book is the comprehensive coverage of the dual aspects of the nature and scope of AI-based innovations in health care and the related drug regulatory aspects which are imperative for the understanding for students, researchers, and those who work in this area.

This book discusses how Artificial Intelligence developments have revolutionized the area of medicine and how companies use them to develop applications. While the book covers the growth of AI in medicine and the early developments in AI based medical tools, it provides an in-depth analysis of the current developments in relation to the area of medical diagnostics. The book focuses on how enterprises and institutes have developed their intellectual property portfolio, particularly patents, in this area. Cross-country patenting analysis helps in understanding key areas of growth in certain markets and also company strategies and arrangements. The introduction of AI based products in market is subject to regulation. The developments in policy and regulation influence the development and deployment of such products into the market. This book brings focus to the development of policy and regulation and how regulatory developments impact the introduction of AI-based healthcare products from a cross-country perspective. Further, how regulatory developments lead to the evolution of standards, build reliability and safety in this area are also examined. The unique aspect of this book is the comprehensive coverage of the dual aspects of the nature and scope of AI-based innovations in health care and the related drug regulatory aspects which are imperative for the understanding for students, researchers, and those who work in this area.

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. It provides a comprehensive overview of digital transformation and AI technologies and their current state of implementation. It also explores the potential challenges and risks associated with digital transformation and AI, including ethical considerations, job displacement, privacy concerns, biases, impact on inequality, social interactions, and the overall well-being of individuals and communities. Additionally, the books provides and discusses policy and regulatory frameworks that can effectively address the opportunities andchallenges posed by digital transformation and AI leading to responsible AI. It also delves into impact of automation on the job market and workforce. The book concludes by proposing potential strategies for navigating opportunities and challenges of digital transformation and AI integration. It emphasizes the need for interdisciplinary collaboration among stakeholders, including policymakers, industry leaders, academia, and civil society, to develop a comprehensive approach towards harnessing the full potential of digital transformation and AI and associated technologies. The book employs a multidisciplinary approach, drawing from various fields such as computer science, sociology, philosophy, political science, economics, law and governance. It combines theoretical analysis, empirical case studies, and expert perspectives to provide a holistic view of the subject matter.This book caters to a diverse audience, including students, researchers, academics, policymakers, industry professionals, and technology enthusiasts. It provides a valuable resource for those seeking a comprehensive understanding ofthe opportunities and challenges arising fromthe integration of digital transformation and AI in society.

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. It provides a comprehensive overview of digital transformation and AI technologies and their current state of implementation. It also explores the potential challenges and risks associated with digital transformation and AI, including ethical considerations, job displacement, privacy concerns, biases, impact on inequality, social interactions, and the overall well-being of individuals and communities. Additionally, the books provides and discusses policy and regulatory frameworks that can effectively address the opportunities andchallenges posed by digital transformation and AI leading to responsible AI. It also delves into impact of automation on the job market and workforce. The book concludes by proposing potential strategies for navigating opportunities and challenges of digital transformation and AI integration. It emphasizes the need for interdisciplinary collaboration among stakeholders, including policymakers, industry leaders, academia, and civil society, to develop a comprehensive approach towards harnessing the full potential of digital transformation and AI and associated technologies. The book employs a multidisciplinary approach, drawing from various fields such as computer science, sociology, philosophy, political science, economics, law and governance. It combines theoretical analysis, empirical case studies, and expert perspectives to provide a holistic view of the subject matter.This book caters to a diverse audience, including students, researchers, academics, policymakers, industry professionals, and technology enthusiasts. It provides a valuable resource for those seeking a comprehensive understanding ofthe opportunities and challenges arising fromthe integration of digital transformation and AI in society.

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 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). It identifies, analyzes, and points out such issues via a study of laws and regulations in India, Germany, and California, determining the legal liabilities of designer, developer/programmer, manufacturer, producer, users, or AI in the case of AVs. AV technology is being touted as one that is poised to bring revolution in the mobility ecosystem by lessening the number of accidents and by providing other benefits, such as potential to reduce traffic, increase safety and mobility, lower energy usage and generate free time. Despite having such a potential to shape and transform the future, and involvement of tech-giants like Google, Amazon, Facebook, and Microsoft, regulations around AI and AVs are still on the drawing board stage in many countries, as they grapple on how to address this issue which has both local and global players involved and affects both local and global populace.The book studies and compares the existing and evolving regulations in three different regions to bring out the lacunae, loopholes and best practices. It highlights when AI deserves legal personhood, and when it requires to be granted legal standing. It also points out the civil and criminal legal liabilities arising when AV is involved in an accident, and the ethical issues involved in the deployment of AI. The book goes beyond new regulations to analyze whether challenges and problems arising from AI technology can be addressed within existing civil and criminal laws - procedural and substantive law – or whether a sui generis law on AI technology is required. The analysis and the results showcased here would be highly useful for multi-disciplinary research on the topic. Regulators of both industry and governance would find the contents invaluable in getting a broader picture of the issues and concerns around this topic, along with policy makers would be able to come up with more effective regulations on AI and AVs.

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). It identifies, analyzes, and points out such issues via a study of laws and regulations in India, Germany, and California, determining the legal liabilities of designer, developer/programmer, manufacturer, producer, users, or AI in the case of AVs. AV technology is being touted as one that is poised to bring revolution in the mobility ecosystem by lessening the number of accidents and by providing other benefits, such as potential to reduce traffic, increase safety and mobility, lower energy usage and generate free time. Despite having such a potential to shape and transform the future, and involvement of tech-giants like Google, Amazon, Facebook, and Microsoft, regulations around AI and AVs are still on the drawing board stage in many countries, as they grapple on how to address this issue which has both local and global players involved and affects both local and global populace.The book studies and compares the existing and evolving regulations in three different regions to bring out the lacunae, loopholes and best practices. It highlights when AI deserves legal personhood, and when it requires to be granted legal standing. It also points out the civil and criminal legal liabilities arising when AV is involved in an accident, and the ethical issues involved in the deployment of AI. The book goes beyond new regulations to analyze whether challenges and problems arising from AI technology can be addressed within existing civil and criminal laws - procedural and substantive law – or whether a sui generis law on AI technology is required. The analysis and the results showcased here would be highly useful for multi-disciplinary research on the topic. Regulators of both industry and governance would find the contents invaluable in getting a broader picture of the issues and concerns around this topic, along with policy makers would be able to come up with more effective regulations on AI and AVs.

This groundbreaking proceedings volume explores the integration of Artificial Intelligence (AI) across key domains—healthcare, finance, education, robotics, industrial and other engineering applications —unveiling its transformative potential and practical implications. With a multidisciplinary lens, it transcends technical aspects, fostering a comprehensive understanding while bridging theory and practice.  Approaching the subject matter with depth, the book combines theoretical foundations with real-world case studies, empowering researchers, professionals, and enthusiasts with the knowledge and tools to effectively harness AI. Encompassing diverse AI topics—machine learning, natural language processing, computer vision, data analytics and supervisory control — the volume showcases state-of-the-art techniques propelling AI advancements.  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.  Part 2: Robotics and Control Systems, delves into the integration of AI in robotics and automatic control, addressing supervisory control, automated robotic movement coordination, anomaly detection, dynamic programming, and fault tolerance, offering insights into the evolving landscape of intelligent automation.  Part 3: AI and Society, examines the societal impact of AI through chapters on ethical considerations, economic growth, environmental engagements, and hazard management, providing a holistic perspective on AI's role in shaping society.  Part 4: PhD Symposium, presents the future of AI through cutting-edge research, covering legal and ethical dimensions, privacy considerations, and computationally efficient solutions, offering a glimpse into the next generation of AI advancements.   Catering to a diverse audience—from industry leaders to students—the volume consolidates the expertise of renowned professionals, serving as a comprehensive resource for navigating the ever-evolving AI landscape. An essential reference for those staying at the forefront of AI developments.