Artificial Intelligence In Peace Justice And Strong Institutions
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Artificial Intelligence In Peace Justice And Strong Institutions
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Author : Kaunert, Christian
language : en
Publisher: IGI Global
Release Date : 2025-02-28
Artificial Intelligence In Peace Justice And Strong Institutions written by Kaunert, Christian and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-28 with Computers categories.
Artificial intelligence (AI) plays a transformative role in advancing peace, justice, and strong institutions by providing innovative solutions to complex societal challenges. In areas like conflict resolution, legal systems, and governance, AI enhances decision-making, improves efficiency, and increases transparency. AI-powered tools assist in monitoring human rights abuses, predicting conflict zones, and ensuring fair and unbiased legal processes through automated analysis of case law. It can help strengthen institutions by improving public service delivery, combating corruption, and fostering greater civic participation. As nations strive to meet the United Nations' Sustainable Development Goal (SDG) 16, further research into AI's ability becomes key to building just, peaceful, and inclusive societies. Artificial Intelligence in Peace, Justice, and Strong Institutions explores the intersection between AI and sustainable development goals, examining how new technologies may help address challenges in governance and law. It applies a human rights perspective to AI for fair, balanced, resilient, and peaceful sustainable societies. This book covers topics such as e-commerce, gender equality, and judicial systems, and is a useful resource for business owners, government professionals, policymakers, sociologists, academicians, and researchers.
Fintech And Artificial Intelligence For Sustainable Development
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Author : David Mhlanga
language : en
Publisher: Springer Nature
Release Date : 2023-07-24
Fintech And Artificial Intelligence For Sustainable Development written by David Mhlanga and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-24 with Business & Economics categories.
This book investigates how smart technologies can play a crucial role in the achievement of the UN Sustainable Development Goals. Focusing on FinTech as well as artificial intelligence, the author demonstrates how one of the most effective strategies for accelerating progress toward global development goals is to make use of emerging technologies to broaden and deepen the scope of action. The first part of the book offers a historical perspective on sustainable development, financial technology and the emergence of the Fourth Industrial Revolution, while the second part looks in-depth at new technologies that can contribute to the realization of the SDGs. The power of AI to reduce poverty and increase food security, the implications of digital innovations for education, the impact of AI on clean transport, the role of FinTech in mitigating climate change, and ways in which AI can aid financial inclusion are all discussed.
Handbook On Artificial Intelligence And Transport
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Author : Hussein Dia
language : en
Publisher: Edward Elgar Publishing
Release Date : 2023-10-06
Handbook On Artificial Intelligence And Transport written by Hussein Dia and has been published by Edward Elgar Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-10-06 with Computers categories.
With AI advancements eliciting imminent changes to our transport systems, this enlightening Handbook presents essential research on this evolution of the transportation sector. It focuses on not only urban planning, but relevant themes in law and ethics to form a unified resource on the practicality of AI use.
System Design For Epidemics Using Machine Learning And Deep Learning
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Author : G. R. Kanagachidambaresan
language : en
Publisher: Springer Nature
Release Date : 2023-02-01
System Design For Epidemics Using Machine Learning And Deep Learning written by G. R. Kanagachidambaresan and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-02-01 with Technology & Engineering categories.
This book explores the benefits of deploying Machine Learning (ML) and Artificial Intelligence (AI) in the health care environment. The authors study different research directions that are working to serve challenges faced in building strong healthcare infrastructure with respect to the pandemic crisis. The authors take note of obstacles faced in the rush to develop and alter technologies during the Covid crisis. They study what can be learned from them and what can be leveraged efficiently. The authors aim to show how healthcare providers can use technology to exploit advances in machine learning and deep learning in their own applications. Topics include remote patient monitoring, data analysis of human behavioral patterns, and machine learning for decision making in real-time.
Metaverse And Digital Twins
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Author : Bhupinder Singh
language : en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date : 2025-08-04
Metaverse And Digital Twins written by Bhupinder Singh and has been published by Walter de Gruyter GmbH & Co KG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-04 with Computers categories.
This book covers innovative research topics on Metaverse, Digital Twins and Disease Screening and Precision medicines which represents the convergence of three significant technological trends, each with the potential to impact healthcare on its own. However, when combined, they could establish entirely novel avenues for delivering care, offering the potential to reduce costs significantly and greatly enhance patient outcomes. These trends include telepresence/telemedicine, the digital twin (DT), and blockchain. Telepresence refers to people's capacity to virtually be together despite physical distance. This can be achieved through virtual reality (VR, immersing the user entirely), augmented reality (AR, overlaying artificial images onto a real image), or other methods. Aside from VR and AR, distinguish two other metaverse types: lifelogging (capturing, storing, and sharing everyday experiences and information about objects and people) and the mirror world (reflecting the real world but integrating and providing external environment information). In the healthcare context, telepresence is predominantly utilized in telemedicine, which involves delivering medical services remotely.
Modern Perspectives On Artificial Intelligence And Law
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Author : Anastasiadou, Sofia D.
language : en
Publisher: IGI Global
Release Date : 2025-06-05
Modern Perspectives On Artificial Intelligence And Law written by Anastasiadou, Sofia D. and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-05 with Computers categories.
According to autopoietic theories when applied to the legal system and artificial intelligence (AI), the transformations of law and AI are not linear nor are they are separate. Rather, AI influences the transformation of law, and law, likewise, influences the transformation of AI. In this way, many questions have arisen regarding ethics and the role of the law in the governance of AI. The impact from the mergence of AI and law has significant implications for society, including informing policies regarding regulation and fundamental rights as well as managing safety, equity, and accountability in various sectors using AI in their operations. Consequently, an urgent need exists for ensuring risk mitigation while enhancing the benefits of AI in society. Modern Perspectives on Artificial Intelligence and Law examines the interplay between the legal system and AI and the way they influence each other. With a focus on AI governance, it explores challenges of regulating AI while still advancing AI innovation in fields such as healthcare and in everyday human life. Covering topics such as legal entropy, semantic inconsistencies, and intellectual property law, this book is an excellent resource for statisticians, law practitioners, data scientists, economists, social scientists, informaticists, bio-informaticists, professionals, researchers, scholars, academicians, and more.
Artificial Intelligence Machine Learning And Deep Learning For Sustainable Industry 5 0
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Author : Nitin Liladhar Rane
language : en
Publisher: Deep Science Publishing
Release Date : 2024-10-14
Artificial Intelligence Machine Learning And Deep Learning For Sustainable Industry 5 0 written by Nitin Liladhar Rane and has been published by Deep Science Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-14 with Computers categories.
This book offers an insight into the applications of Artificial Intelligence (AI)- Machine Learning Algorithms and Deep Learning (DL) in Bigdata Analytics to Industry 4.0/5.0 and Society 5.0 with transformative power responsibly. It has delved into how these technologies are disrupting industries, fostering innovation, and solving age-old social problems-so that readers have an understanding of where the digital world is headed. These chapters cover the big picture subjects of using AI with Big data analytics aimed mostly at increasing industrial efficiency, healthcare optimization, retail transformation, construction industry transformation, autonomous vehicles development and environmental sustainability improvement. The book covers each of these technologies extensively applied to full chapters devoted to detail studies, methodologies and practical usages. One of the central concepts in the book is how we evolve from industry 4.0 to industry 5.0. Therefore, Industry 4.0 relies on the automation and data exchange in manufacturing technologies using cyber-physical systems, the Internet of Things and cloud computing route to intelligent factories. During this phase, it improves operational efficiency, predictive maintenance and real-time monitoring which lowers down time and other operating costs by considerable amount. As industries move towards Industry 5.0, a lot has been noted-human-oriented solutions that combine human creativity and intelligence with highly automated and distributed technological tools. More cooperation between humans and machines during such times will, therefore, result in more customized production aimed at sustainable processes. The book details how, thanks to digital twins-that is, innumerable virtual replicas of physical systems-the further step is taken, allowing for real-time data analysis and, consequently innovative ways of manufacturing where the interests of the workers and customers come first. The present book discusses how AI and big data analytics transcend industrial applications to meet more societal ends as society ushers in its fifth revolution. Society 5.0 postulates that a super-smart digital society will drive transformation in all aspects of life, ranging from health and education to planning urban resources and infrastructure and ensuring public safety. The combination of AI with Big Data makes personalized healthcare services possible, competent resource planning in cities, and environmental sustainability in place via predictive analytics or simulation models. One such industry in which significant changes are coming, according to AI and Big Data analytics, is healthcare. This book shows how these technologies improve diagnostic accuracy, enable personalized treatment plans, and optimize resource allocations. Predictive insights can predict outbreaks and admissions, which helps better preparedness against diseases and also optimizes health resource utilization. AI in medical imaging and anomaly detection strengthens the efficiency of professional health experts, thus delivering better patient outcomes. AI and big data analytics have further remodelled the retail industry by providing retailers profound insights into consumer behaviour and preferences. With this information, retailers can adopt person-segmented marketing techniques and optimize inventory levels while enabling high levels of customer service using AI-fuelled chatbots and virtual assistants. These technologies help retailers stay competitive in an ever-developing market environment by offering solutions structured based on individual needs expressed by customers. AI and big data analytics combine to form one synergy connected with autonomous vehicles. It further goes on to discuss the huge amount of data needed for training these AI models and big data analytics in refining the accuracy and safety of autonomous driving systems. Another critical area in which AI and Big Data Analytics make a considerable impact is environmental sustainability. By applying these analyses to large data sets relating to climatic changes, energy consumption, and natural resources, AI models can establish trends and recognize patterns indicating future changes. This predictive ability equips organizations and governments with tools to develop lower environmental footprints and promote sustainable practices proactively. It further explains AI-enabled energy management systems that drive optimized energy use in buildings to reduce carbon emissions and save on associated costs. This certainly looks like something for a vast readership: it speaks more to academics, professionals working in the industry, and decision-makers-but, really, to anybody who seeks to grasp the transformative powerfulness of AI and big data analytics. This source will provide information on overall guidance and a rich source of inspiration in using these technologies to enable innovation and sustainable development across different sectors. Actual case examples and practical applications are given to convey the knowledge and elements that readers need to know as they go about using AI and big data analytics. This book also includes discussions concerning the dynamic policy and regulatory scenes of AI, pointing out that it is necessary to have standard policies that should be implemented to have ethical deployment of AI that reduces risks. This book also focuses on challenges in implementing AI for intelligent and sustainable industries, meaning technical, ethical, and operational barriers. It outlines high costs, low-quality data, and the need for skilled professionals; ethical concerns and robust cybersecurity measures become necessary. As such, this book will engross an audience ranging from academics to industry professionals and policymakers working toward understanding and using AI and big data for sustainable development and technological advancement.
Machine And Deep Learning Solutions For Achieving The Sustainable Development Goals
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Author : Ruiz-Vanoye, Jorge A.
language : en
Publisher: IGI Global
Release Date : 2025-03-07
Machine And Deep Learning Solutions For Achieving The Sustainable Development Goals written by Ruiz-Vanoye, Jorge A. and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-07 with Computers categories.
Achieving the United Nations' Sustainable Development Goals (SDGs) requires innovative solutions that address global challenges such as climate change, poverty, and social inequality. Artificial intelligence (AI), machine learning, and data-driven technologies offer transformative potential by optimizing resource management, improving healthcare outcomes, and enhancing decision-making processes. However, integrating AI into sustainable development efforts presents ethical, technical, and policy-related challenges that must be carefully navigated. A multidisciplinary approach is essential to ensure these technologies are applied inclusively and responsibly, maximizing their positive societal impact. Machine and Deep Learning Solutions for Achieving the Sustainable Development Goals enhances understanding and application of machine learning, deep learning, data mining and AI technologies in the context of the SDGs. It fills the gap by linking theory and practice and addresses both the opportunities and challenges inherent in this intersection. Covering topics such as demand side management, agricultural productivity, and smart manufacturing, this book is an excellent resource for engineers, computer scientists, practitioners, policymakers, professionals, researchers, scholars, academicians, and more.
Technological Innovation And Ai For Sustainable Development In Events And Festivals
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Author : Anukrati Sharma
language : en
Publisher: CABI
Release Date : 2025-05-30
Technological Innovation And Ai For Sustainable Development In Events And Festivals written by Anukrati Sharma and has been published by CABI this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-30 with Business & Economics categories.
From sustainable event planning to the influence of VR, AI, and mobile applications on tourist behaviour, this book explores the dynamic landscape where innovation meets tradition. It studies the intersection of green technologies, sustainable infrastructure, and the delicate balance between cutting-edge tools and the intrinsic emotional aspects of human engagement. Aligned with the United Nations' 17 Sustainable Development Goals, the book highlights AI's potential to drive meaningful contributions to a sustainable future. It anticipates the imminent transformation of festivals and events through technological innovation and AI implementation. It will allow the reader to gain insights into how automation streamlines logistics, optimizes marketing efforts, and enhances the overall attendee experience.
Artificial Intelligence Valuation
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Author : Roberto Moro-Visconti
language : en
Publisher: Springer Nature
Release Date : 2024-06-01
Artificial Intelligence Valuation written by Roberto Moro-Visconti and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-01 with Business & Economics categories.
The book discusses the main valuation methodologies of artificial intelligence (AI). Company valuation goes hand in hand with estimating intangible assets like AI, which are linked to higher risk and lower collateral value. Their accounting is controversial, and the most widely used valuation approaches are based on market, income, or cost-related metrics.The volume discusses in detail the valuation approaches such as the discounted cash flows (remembering that “cash is king”) or the empirical market multipliers and comparables. The approaches are complemented by several models, including advanced business planning that incorporates machine learning, digital scalability networks, or validating blockchains. The book, with a tailor-made theoretical background backed by empirical cases, shows how to evaluate AI products, such as chatbots or virtual assistants, for AI established producers, startups, or traditional “brick-and-mortar” AI users. The comprehensive set of techniques and methodologies will interest researchers, students, and practitioners in corporate finance, intellectual property valuation, and financial technology.