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XxAI - Beyond Explainable AI

Author : Andreas Holzinger
Publisher : Springer Nature
ISBN 13 : 303104083X
Total Pages : 397 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis XxAI - Beyond Explainable AI by : Andreas Holzinger

Download or read book XxAI - Beyond Explainable AI written by Andreas Holzinger and published by Springer Nature. This book was released on 2022 with total page 397 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is an open access book. Statistical machine learning (ML) has triggered a renaissance of artificial intelligence (AI). While the most successful ML models, including Deep Neural Networks (DNN), have developed better predictivity, they have become increasingly complex, at the expense of human interpretability (correlation vs. causality). The field of explainable AI (xAI) has emerged with the goal of creating tools and models that are both predictive and interpretable and understandable for humans. Explainable AI is receiving huge interest in the machine learning and AI research communities, across academia, industry, and government, and there is now an excellent opportunity to push towards successful explainable AI applications. This volume will help the research community to accelerate this process, to promote a more systematic use of explainable AI to improve models in diverse applications, and ultimately to better understand how current explainable AI methods need to be improved and what kind of theory of explainable AI is needed. After overviews of current methods and challenges, the editors include chapters that describe new developments in explainable AI. The contributions are from leading researchers in the field, drawn from both academia and industry, and many of the chapters take a clear interdisciplinary approach to problem-solving. The concepts discussed include explainability, causability, and AI interfaces with humans, and the applications include image processing, natural language, law, fairness, and climate science.

Explainable Artificial Intelligence (XAI) in Healthcare

Author : Utku Kose
Publisher : CRC Press
ISBN 13 : 1040020453
Total Pages : 251 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Explainable Artificial Intelligence (XAI) in Healthcare by : Utku Kose

Download or read book Explainable Artificial Intelligence (XAI) in Healthcare written by Utku Kose and published by CRC Press. This book was released on 2024-04-23 with total page 251 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book highlights the use of explainable artificial intelligence (XAI) for healthcare problems, in order to improve trustworthiness, performance and sustainability levels in the context of applications. Explainable Artificial Intelligence (XAI) in Healthcare adopts the understanding that AI solutions should not only have high accuracy performance, but also be transparent, understandable and reliable from the end user's perspective. The book discusses the techniques, frameworks, and tools to effectively implement XAI methodologies in critical problems of healthcare field. The authors offer different types of solutions, evaluation methods and metrics for XAI and reveal how the concept of explainability finds a response in target problem coverage. The authors examine the use of XAI in disease diagnosis, medical imaging, health tourism, precision medicine and even drug discovery. They also point out the importance of user perspectives and value of the data used in target problems. Finally, the authors also ensure a well-defined future perspective for advancing XAI in terms of healthcare. This book will offer great benefits to students at the undergraduate and graduate levels and researchers. The book will also be useful for industry professionals and clinicians who perform critical decision-making tasks.

Explainable AI for Cybersecurity

Author : Zhixin Pan
Publisher : Springer Nature
ISBN 13 : 3031464796
Total Pages : 249 pages
Book Rating : 4.0/5 (314 download)

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Book Synopsis Explainable AI for Cybersecurity by : Zhixin Pan

Download or read book Explainable AI for Cybersecurity written by Zhixin Pan and published by Springer Nature. This book was released on 2024-01-13 with total page 249 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a comprehensive overview of security vulnerabilities and state-of-the-art countermeasures using explainable artificial intelligence (AI). Specifically, it describes how explainable AI can be effectively used for detection and mitigation of hardware vulnerabilities (e.g., hardware Trojans) as well as software attacks (e.g., malware and ransomware). It provides insights into the security threats towards machine learning models and presents effective countermeasures. It also explores hardware acceleration of explainable AI algorithms. The reader will be able to comprehend a complete picture of cybersecurity challenges and how to detect them using explainable AI. This book serves as a single source of reference for students, researchers, engineers, and practitioners for designing secure and trustworthy systems.

Advances in Explainable AI Applications for Smart Cities

Author : Ghonge, Mangesh M.
Publisher : IGI Global
ISBN 13 : 1668463636
Total Pages : 523 pages
Book Rating : 4.6/5 (684 download)

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Book Synopsis Advances in Explainable AI Applications for Smart Cities by : Ghonge, Mangesh M.

Download or read book Advances in Explainable AI Applications for Smart Cities written by Ghonge, Mangesh M. and published by IGI Global. This book was released on 2024-01-18 with total page 523 pages. Available in PDF, EPUB and Kindle. Book excerpt: As smart cities become more prevalent, the need for explainable AI (XAI) applications has become increasingly important. Advances in Explainable AI Applications for Smart Cities is a co-edited book that showcases the latest research and development in XAI for smart city applications. This book covers a wide range of topics, including medical diagnosis, finance and banking, judicial systems, military training, manufacturing industries, autonomous vehicles, insurance claim management, and cybersecurity solutions. Through its diverse case studies and research, this book provides valuable insights into the importance of XAI in smart city applications. This book is an essential resource for undergraduate and postgraduate students, researchers, academicians, industry professionals, and scientists working in research laboratories. It provides a comprehensive overview of XAI concepts, advantages over AI, and its applications in smart city development. By showcasing the impact of XAI on various smart city applications, the book enables readers to understand the importance of XAI in creating more sustainable and efficient smart cities. Additionally, the book addresses the open challenges and research issues related to XAI in modern smart cities, providing a roadmap for future research in this field. Overall, this book is a valuable resource for anyone interested in understanding the importance of XAI in smart city applications.

Explainable AI: Interpreting, Explaining and Visualizing Deep Learning

Author : Wojciech Samek
Publisher : Springer
ISBN 13 : 9783030289539
Total Pages : 439 pages
Book Rating : 4.2/5 (895 download)

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Book Synopsis Explainable AI: Interpreting, Explaining and Visualizing Deep Learning by : Wojciech Samek

Download or read book Explainable AI: Interpreting, Explaining and Visualizing Deep Learning written by Wojciech Samek and published by Springer. This book was released on 2019-08-30 with total page 439 pages. Available in PDF, EPUB and Kindle. Book excerpt: The development of “intelligent” systems that can take decisions and perform autonomously might lead to faster and more consistent decisions. A limiting factor for a broader adoption of AI technology is the inherent risks that come with giving up human control and oversight to “intelligent” machines. For sensitive tasks involving critical infrastructures and affecting human well-being or health, it is crucial to limit the possibility of improper, non-robust and unsafe decisions and actions. Before deploying an AI system, we see a strong need to validate its behavior, and thus establish guarantees that it will continue to perform as expected when deployed in a real-world environment. In pursuit of that objective, ways for humans to verify the agreement between the AI decision structure and their own ground-truth knowledge have been explored. Explainable AI (XAI) has developed as a subfield of AI, focused on exposing complex AI models to humans in a systematic and interpretable manner. The 22 chapters included in this book provide a timely snapshot of algorithms, theory, and applications of interpretable and explainable AI and AI techniques that have been proposed recently reflecting the current discourse in this field and providing directions of future development. The book is organized in six parts: towards AI transparency; methods for interpreting AI systems; explaining the decisions of AI systems; evaluating interpretability and explanations; applications of explainable AI; and software for explainable AI.

Explainable Deep Learning AI

Author : Jenny Benois-Pineau
Publisher : Elsevier
ISBN 13 : 0323993885
Total Pages : 348 pages
Book Rating : 4.3/5 (239 download)

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Book Synopsis Explainable Deep Learning AI by : Jenny Benois-Pineau

Download or read book Explainable Deep Learning AI written by Jenny Benois-Pineau and published by Elsevier. This book was released on 2023-02-20 with total page 348 pages. Available in PDF, EPUB and Kindle. Book excerpt: Explainable Deep Learning AI: Methods and Challenges presents the latest works of leading researchers in the XAI area, offering an overview of the XAI area, along with several novel technical methods and applications that address explainability challenges for deep learning AI systems. The book overviews XAI and then covers a number of specific technical works and approaches for deep learning, ranging from general XAI methods to specific XAI applications, and finally, with user-oriented evaluation approaches. It also explores the main categories of explainable AI – deep learning, which become the necessary condition in various applications of artificial intelligence. The groups of methods such as back-propagation and perturbation-based methods are explained, and the application to various kinds of data classification are presented. Provides an overview of main approaches to Explainable Artificial Intelligence (XAI) in the Deep Learning realm, including the most popular techniques and their use, concluding with challenges and exciting future directions of XAI Explores the latest developments in general XAI methods for Deep Learning Explains how XAI for Deep Learning is applied to various domains like images, medicine and natural language processing Provides an overview of how XAI systems are tested and evaluated, specially with real users, a critical need in XAI

Digital Technologies and Public Procurement

Author : Albert Sanchez-Graells
Publisher : Oxford University Press
ISBN 13 : 019263660X
Total Pages : 488 pages
Book Rating : 4.1/5 (926 download)

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Book Synopsis Digital Technologies and Public Procurement by : Albert Sanchez-Graells

Download or read book Digital Technologies and Public Procurement written by Albert Sanchez-Graells and published by Oxford University Press. This book was released on 2024-01-10 with total page 488 pages. Available in PDF, EPUB and Kindle. Book excerpt: The digital transformation of the public sector has accelerated. States are experimenting with technology, seeking more streamlined and efficient digital government and public services. However, there are significant concerns about the risks and harms to individual and collective rights under new modes of digital public governance. Several jurisdictions are attempting to regulate digital technologies, especially artificial intelligence, however regulatory effort primarily concentrates on technology use by companies, not by governments. The regulatory gap underpinning public sector digitalisation is growing. As it controls the acquisition of digital technologies, public procurement has emerged as a 'regulatory fix' to govern public sector digitalisation. It seeks to ensure through its contracts that public sector digitalisation is trustworthy, ethical, responsible, transparent, fair, and (cyber) safe. However, in Digital Technologies and Public Procurement: Gatekeeping and Experimentation in Digital Public Governance, Albert Sanchez-Graells argues that procurement cannot perform this gatekeeping role effectively. Through a detailed case study of procurement digitalisation as a site of unregulated technological experimentation, he demonstrates that relying on 'regulation by contract' creates a false sense of security in governing the transition towards digital public governance. This leaves the public sector exposed to the 'policy irresistibility' that surrounds hyped digital technologies. Bringing together insights from political economy, public policy, science, technology, and legal scholarship, this thought-provoking book proposes an alternative regulatory approach and contributes to broader debates of digital constitutionalism and digital technology regulation.

Handbook of Geospatial Artificial Intelligence

Author : Song Gao
Publisher : CRC Press
ISBN 13 : 1003814921
Total Pages : 469 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Handbook of Geospatial Artificial Intelligence by : Song Gao

Download or read book Handbook of Geospatial Artificial Intelligence written by Song Gao and published by CRC Press. This book was released on 2023-12-29 with total page 469 pages. Available in PDF, EPUB and Kindle. Book excerpt: This comprehensive handbook covers Geospatial Artificial Intelligence (GeoAI), which is the integration of geospatial studies and AI machine (deep) learning and knowledge graph technologies. It explains key fundamental concepts, methods, models, and technologies of GeoAI, and discusses the recent advances, research tools, and applications that range from environmental observation and social sensing to natural disaster responses. As the first single volume on this fast-emerging domain, Handbook of Geospatial Artificial Intelligence is an excellent resource for educators, students, researchers, and practitioners utilizing GeoAI in fields such as information science, environment and natural resources, geosciences, and geography. Features Provides systematic introductions and discussions of GeoAI theory, methods, technologies, applications, and future perspectives Covers a wide range of GeoAI applications and case studies in practice Offers supplementary materials such as data, programming code, tools, and case studies Discusses the recent developments of GeoAI methods and tools Includes contributions written by top experts in cutting-edge GeoAI topics This book is intended for upper-level undergraduate and graduate students from different disciplines and those taking GIS courses in geography or computer sciences as well as software engineers, geospatial industry engineers, GIS professionals in non-governmental organizations, and federal/state agencies who use GIS and want to learn more about GeoAI advances and applications.

Research and Innovation Forum 2023

Author : Anna Visvizi
Publisher : Springer Nature
ISBN 13 : 3031447212
Total Pages : 798 pages
Book Rating : 4.0/5 (314 download)

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Book Synopsis Research and Innovation Forum 2023 by : Anna Visvizi

Download or read book Research and Innovation Forum 2023 written by Anna Visvizi and published by Springer Nature. This book was released on 2024-01-01 with total page 798 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book features research presented and discussed during the Research & Innovation Forum (Rii Forum) 2023. As such, this book offers a unique insight into emerging topics, issues and developments pertinent to the fields of technology, innovation and education and their social impact. Papers included in this book apply inter- and multi-disciplinary approaches to query such issues as technology-enhanced teaching and learning, smart cities, information systems, cognitive computing and social networking. What brings these threads of the discussion together is the question of how advances in computer science—which are otherwise largely incomprehensible to researchers from other fields—can be effectively translated and capitalized on so as to make them beneficial for society as a whole. In this context, Rii Forum and Rii Forum proceedings offer an essential venue where diverse stakeholders, including academics, the think tank sector and decision-makers, can engage in a meaningful dialogue with a view to improving the applicability of advances in computer science.

Digitalisation, Sustainability, and the Banking and Capital Markets Union

Author : Lukas Böffel
Publisher : Springer Nature
ISBN 13 : 3031170776
Total Pages : 439 pages
Book Rating : 4.0/5 (311 download)

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Book Synopsis Digitalisation, Sustainability, and the Banking and Capital Markets Union by : Lukas Böffel

Download or read book Digitalisation, Sustainability, and the Banking and Capital Markets Union written by Lukas Böffel and published by Springer Nature. This book was released on 2022-12-30 with total page 439 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers three topics that have dominated financial market regulation and supervision debates: digital finance, sustainable finance, and the Banking and Capital Markets Union. Within the first part, seven chapters will tackle specific questions arising in digital finance, including but not limited to artificial intelligence, tokenisation, and international regulatory cooperation in digital financial services. The second part addresses one of humanity’s most pressing issues today: the climate crisis. The quest for sustainable finance is driven by political actors and a common understanding that climate change is a severe threat. As financial institutions are a cornerstone of human interaction, they are in the regulatory spotlight. The chapters explore sustainability in EU banking and insurance regulation, the interrelationship between systemic risk and sustainability, and the ‘greening’ of EU monetary policy. The third part analyses two projects that have led to huge structural changes in the European financial market architecture over the last decade: the European Banking Union and Capital Markets Union. This transformation has raised numerous legal questions that can only gradually be answered in all their intricacies. In four chapters, this book examines composite procedures, property rights of depositors in banking resolution, preemptive financing arrangements and the phenomenon of subsidiarisation in the context of Brexit. Of interest to academics, policymakers, practitioners, and students in the field of EU financial regulation, banking law, securities law, and regulatory law, this book offers a compilation of analyses on pressing banking and capital markets law problems.

Advances in Information and Communication

Author : Kohei Arai
Publisher : Springer Nature
ISBN 13 : 3031280733
Total Pages : 927 pages
Book Rating : 4.0/5 (312 download)

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Book Synopsis Advances in Information and Communication by : Kohei Arai

Download or read book Advances in Information and Communication written by Kohei Arai and published by Springer Nature. This book was released on 2023-03-01 with total page 927 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers the proceedings of the eighth Future of Information and Computing Conference, which was held successfully in virtual mode. It received a total of 369 paper submissions from renowned and budding scholars, academics, and distinguished members of the industry. The topics fanned across various fields involving computing, Internet of Things, data science, and artificial intelligence. Learned scholars from all walks of life assembled under one roof to share their unique, original, and breakthrough researches and paved a new technological path for the world. Many of the studies seek to change the face of the world itself. Their innovative thinking indeed aims to solve several gruesome problems in the field of communication, data science, ambient intelligence, networking, computing, security, and privacy. The authors have strived to render valuable pieces of study in this edition and hope to acquire enthusiastic support from the readers.

Algorithms, Humans, and Interactions

Author : Don Donghee Shin
Publisher : Taylor & Francis
ISBN 13 : 1000825388
Total Pages : 177 pages
Book Rating : 4.0/5 (8 download)

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Book Synopsis Algorithms, Humans, and Interactions by : Don Donghee Shin

Download or read book Algorithms, Humans, and Interactions written by Don Donghee Shin and published by Taylor & Francis. This book was released on 2023-01-31 with total page 177 pages. Available in PDF, EPUB and Kindle. Book excerpt: Amidst the rampant use of algorithmization enabled by AI, the common theme of AI systems is the human factor. Humans play an essential role in designing, developing, and operationalizing AI systems. We have a remit to ensure those systems run transparently, perform equitably, value our privacy, and effectively fulfill human needs. This book takes an interdisciplinary approach to contribute to the ongoing development of human–AI interaction with a particular focus on the "human" dimension and provides insights to improve the design of AI that could be genuinely beneficial and effectively used in society. The readers of this book will benefit by gaining insights into various perspectives about how AI has impacted people and society and how it will do so in the future, and understanding how we can design algorithm systems that are beneficial, legitimate, usable by humans, and designed considering and respecting human values. This book provides a horizontal set of guidelines and insight into how humans can be empowered by making choices about AI designs that allow them meaningful control over AI. Designing meaningful AI experiences has garnered great attention to address responsibility gaps and mitigate them by establishing conditions that enable the proper attribution of responsibility to humans. This book helps us understand the possibilities of what AI systems can do and how they can and should be integrated into our society.

Artificial Intelligence and Normative Challenges

Author : Angelos Kornilakis
Publisher : Springer Nature
ISBN 13 : 3031410815
Total Pages : 274 pages
Book Rating : 4.0/5 (314 download)

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Book Synopsis Artificial Intelligence and Normative Challenges by : Angelos Kornilakis

Download or read book Artificial Intelligence and Normative Challenges written by Angelos Kornilakis and published by Springer Nature. This book was released on 2023-11-20 with total page 274 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial intelligence (AI) – both in its current, comparatively limited form and even more so in its potential future forms (such as general and superintelligence) – has raised both concerns and hopes. Its actual and potential consequences are increasingly far-reaching, affecting almost every facet of human life on a collective and individual level: from the use of mobile phones and social media to autonomous weapons, and from the digitalization of knowledge and information to the patentability of AI innovations, unexpected philosophical, ontological, political and legal questions continue to arise.This book offers an insightful and essential guide to the scientific questions that are shaping humanity’s present and future. Presenting a collection of academic essays written by prominent scholars, it addresses the major legal issues concerning AI: its impact on a wide range of human behavior and the general legal response, including questions on AI and legal personhood; responsibility, liability and culpability in the age of AI; the challenges AI poses for intellectual property regimes; human rights challenges; and AI’s impact on jus ad bellum and jus in bello.Given its scope, the book will appeal to researchers, scholars and practitioners seeking a guide to this rapidly transforming landscape.

Information Modelling and Knowledge Bases XXXV

Author : M. Tropmann-Frick
Publisher : IOS Press
ISBN 13 : 1643684779
Total Pages : 342 pages
Book Rating : 4.6/5 (436 download)

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Book Synopsis Information Modelling and Knowledge Bases XXXV by : M. Tropmann-Frick

Download or read book Information Modelling and Knowledge Bases XXXV written by M. Tropmann-Frick and published by IOS Press. This book was released on 2024-02 with total page 342 pages. Available in PDF, EPUB and Kindle. Book excerpt: The volume and complexity of information, together with the number of abstraction levels and the size of data and knowledge bases, grow continually. Data originating from diverse sources involves a combination of data from traditional legacy sources and unstructured data requiring backwards modeling, meanwhile, information modeling and knowledge bases have become important contributors to 21st-century academic and industrial research. This book presents the proceedings of EJC 2023, the 33rd International Conference on Information Modeling and Knowledge Bases, held from 5 to 9 June 2023 in Maribor, Slovenia. The aim of the EJC conferences is to bring together experts from different areas of computer science and from other disciplines that share the common interest of understanding and solving the problems of information modeling and knowledge bases and applying the results of research to practice. The conference constitutes a research forum for the exchange of results and experiences by academics and practitioners dealing with information and knowledge bases. The topics covered at EJC 2023 encompass a wide range of themes including conceptual modeling; knowledge and information modeling and discovery; linguistic modeling; cross-cultural communication and social computing; environmental modeling and engineering; and multimedia data modeling and systems. In the spirit of adapting to the changes taking place in these areas of research, the conference was also open to new topics related to its main themes. Providing a current overview of progress in the field, this book will be of interest to all those whose work involves the use of information modeling and knowledge bases.

Soft Computing in Data Science

Author : Marina Yusoff
Publisher : Springer Nature
ISBN 13 : 9819904056
Total Pages : 313 pages
Book Rating : 4.8/5 (199 download)

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Book Synopsis Soft Computing in Data Science by : Marina Yusoff

Download or read book Soft Computing in Data Science written by Marina Yusoff and published by Springer Nature. This book was released on 2023-03-16 with total page 313 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 7th International Conference on Soft Computing in Data Science, SCDS 2023, which was held virtually in January 2023. The 21 revised full papers presented were carefully reviewed and selected from 61 submissions. The papers are organized in topical sections on artificial intelligence techniques and applications; computing and optimization; data analytics and technologies; data mining and image processing; mathematical and statistical learning.

Machine Learning and Principles and Practice of Knowledge Discovery in Databases

Author : Irena Koprinska
Publisher : Springer Nature
ISBN 13 : 3031236181
Total Pages : 646 pages
Book Rating : 4.0/5 (312 download)

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Book Synopsis Machine Learning and Principles and Practice of Knowledge Discovery in Databases by : Irena Koprinska

Download or read book Machine Learning and Principles and Practice of Knowledge Discovery in Databases written by Irena Koprinska and published by Springer Nature. This book was released on 2023-01-30 with total page 646 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume constitutes the papers of several workshops which were held in conjunction with the International Workshops of ECML PKDD 2022 on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML PKDD 2022, held in Grenoble, France, during September 19–23, 2022. The 73 revised full papers and 6 short papers presented in this book were carefully reviewed and selected from 143 submissions. ECML PKDD 2022 presents the following workshops: Workshop on Data Science for Social Good (SoGood 2022) Workshop on New Frontiers in Mining Complex Patterns (NFMCP 2022) Workshop on Explainable Knowledge Discovery in Data Mining (XKDD 2022) Workshop on Uplift Modeling (UMOD 2022) Workshop on IoT, Edge and Mobile for Embedded Machine Learning (ITEM 2022) Workshop on Mining Data for Financial Application (MIDAS 2022) Workshop on Machine Learning for Cybersecurity (MLCS 2022) Workshop on Machine Learning for Buildings Energy Management (MLBEM 2022) Workshop on Machine Learning for Pharma and Healthcare Applications (PharML 2022) Workshop on Data Analysis in Life Science (DALS 2022) Workshop on IoT Streams for Predictive Maintenance (IoT-PdM 2022)

A Holistic Analysis of Law, Connecting Theory and Practice

Author : Charalampos (Harry) Stamelos
Publisher : Cambridge Scholars Publishing
ISBN 13 : 1527504131
Total Pages : 169 pages
Book Rating : 4.5/5 (275 download)

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Book Synopsis A Holistic Analysis of Law, Connecting Theory and Practice by : Charalampos (Harry) Stamelos

Download or read book A Holistic Analysis of Law, Connecting Theory and Practice written by Charalampos (Harry) Stamelos and published by Cambridge Scholars Publishing. This book was released on 2023-04-11 with total page 169 pages. Available in PDF, EPUB and Kindle. Book excerpt: The holistic analysis of law has its historical roots in ancient Greece and Rome. A global or holistic law overview of any issue may lead to fairness and broader justice. The first part of this book regards a holistic analysis of law as a general theory; the second part focuses on history of law and the holistic analysis; the third part focuses on procedural law and practice and the holistic analysis, namely the holistic look at counselling as a lawyer in the United States, a holistic method of a mediator studying conflict in Russia and beyond, a holistic analysis of Chinese procedural law, and the holistic analysis of evidence evaluation in international law. The fourth part includes holistic analysis of law relating to modern issues, such as artificial intelligence, climate change and climate refugees and a chapter on the economic diplomacy of Vietnam as a holistic approach model.