This e-ISBN collection of 34 chapters draws on the diverse insights of the opportunities and emerging challenges, changes in the smart technologies and artificial intelligence{AI} paving path towards interdisciplinary research in the fields of Engineering, Arts, Humanities, Commerce, Economics, Social Sciences, Law and Management. It offers decision-makers a comprehensive picture of the impact of Smart technologies and Artificial Intelligence (AI) expected in the long-term changes, and inspiration to leverage the opportunities that offer to improve the state of education. Academicians must find and establish a new equilibrium and a new normal for learning amid the present challenges.

The book bridges the gap between pharmaceutics and molecular modelling at the micro, meso and macro scale. It covers Lipinski's rule of five, nanoparticulate drug delivery, computational prediction of drug solubility and ability to cross blood brain barrier, computer-based simulation of pharmacokinetic parameters, virtual screening of mucoadhesive polymers, QSPR modelling, designing of 2D nanomaterials and role of principal component analysis.

Belonging to the realm of intelligent technologies, it is increasingly accepted that artificial intelligence (AI) has evolved from being merely a development standpoint in computer science. Indeed, recent reports and academic publications show that we are clearly on the path toward pervasive AI in both business and society. Organizations must adopt AI to maintain a competitive advantage and explore opportunities for unprecedented innovation. This book focuses on understanding the wide range of opportunities as well as the spectrum of challenges AI brings in different business contexts and society at large. The book highlights novel and high-quality research in data science and business analytics and examines the current and future impact of AI in business and society. The authors bridge the gap between business and technical perspectives and demonstrate the potential (and actual) impact on society. Embracing applied, qualitative, and quantitative research as well as field experiments and data analysis, the book covers a broad range of topics including but not limited to human-centered AI, product and process innovation, corporate governance, AI and ethics, organizational performance, and entrepreneurship. This comprehensive book will be a valuable resource for researchers, academics, and postgraduate students across AI, technology and innovation management, and a wide range of business disciplines.

This book presents a comprehensive analysis of the alterations and problems caused by new technologies in all fields of politics. It further examines the impact of artificial intelligence (AI) on the nexus between politics, economics, and law. The book raises and answers several important questions: What is the role of AI in politics? Are people prepared for the challenges presented by technical developments? How will Al affect future politics and human society? How can politics and law deal with Al's disruptive technologies? What impact will AI and technology have on law? How can efficient cooperation between human beings and AI be shaped? Can artificial intelligence automate public decision-making? Topics discussed in the book include, but are not limited to digital governance, public administration, digital economy, corruption, democracy and voting, legal singularity, separation of power, constitutional rights, GDPR in politics, AI personhood, digital politics, cyberspace sovereignty, cyberspace transactions, and human rights. This book is a must-read for scholars and students of political science, law, and economics, as well as policy-makers and practitioners, interested in a better understanding of political, legal, and economic aspects and issues of AI.

This book deeply analyzes the theoretical roots of the development of global artificial intelligence ethics and AI governance, the ethical issues in AI application scenarios, and the discussion of artificial intelligence governance issues from a global perspective. From the perspective of knowledge, the book includes not only the metaphysical research of traditional Western ethics, but also the interpretation of AI-related practical cases and international policies. The purpose of this book is not only to study AI ethics and governance issues academically, but to seek a path to solve problems in the real world. It is a very meaningful monograph in both academic theory and reality. This book responds to the implementation of China's digital economy governance and other topics. It is a cutting-edge academic monograph that combines industry, policy, and thought. In this book, the author not only discusses the humanities thoughts such as ethics, political economy, philosophy, and sociology, but also involves computer science, biology, and medicine and other science and engineering disciplines, effectively using interdisciplinary thinking as readers clarify how to explore ethical consensus and establish smart social governance rules in the era of artificial intelligence, so as to provide the most comprehensive and unique scientific and technological insights for smart economy participants, related practitioners in the artificial intelligence industry, and government policy makers. For academia, this is a representative book of Chinese scholars' systematic thinking on AI ethical propositions from a global perspective. For the industry, this is a book that understands the policies and ethical propositions faced by the development of AI industry. An important reference book, for policy makers, this is a monograph for understanding how policies in the AI industry make decisions that conform to AI industry practices and people's moral order.

Artificial intelligence (AI) and knowledge management can create innovative digital solutions and business opportunities in Asia from circular and green economies to technological disruption, innovation, and smart cities. It is essential to understand the impact and importance of AI and knowledge management within the digital economy for future development and for fostering the best practices within 21st century businesses. The Handbook of Research on Artificial Intelligence and Knowledge Management in Asia’s Digital Economy offers conceptual frameworks, empirical studies, and case studies that help to understand the latest developments in artificial intelligence and knowledge management, as well as its potential for digital transformation and business opportunities in Asia. Covering topics such as augmented reality. Convolutional neural networks, and digital transformation, this major reference work generates enriching debate on the challenges and opportunities for economic growth and inclusion in the region among business executives and leaders, IT managers, policymakers, government officials, students and educators of higher education, researchers, and academicians.

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 and challenges 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 from the integration of digital transformation and AI in society.

"Belonging to the realm of intelligent technologies, it is increasingly accepted that AI has evolved from being merely a development standpoint in computer science. Indeed, recent reports and academic publications show that we are clearly on the path towards pervasive AI in both business and society. Organizations must adopt AI to maintain a competitive advantage and explore opportunities for unprecedented innovation. This book focuses on understanding the wide range of opportunities as well as the spectrum of challenges AI brings in different business contexts and society at large. The book highlights novel and high-quality research in data science and business analytics and examines the current and future impact of AI in business and society. The authors bridge the gap between business and technical perspectives and demonstrate the potential (and actual) impact on society. Embracing applied, qualitative and quantitative research as well as field experiments and data analysis, the book covers a broad range of topics including but not limited to: human-centered AI, product and process innovation, corporate governance, AI and ethics, organizational performance, and entrepreneurship. This comprehensive book will be a valuable resource for researchers, academics and postgraduate students across artificial intelligence, technology and innovation management and a wide range of business disciplines"--