Explainable Artificial Intelligence For Sustainable Development

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Explainable Ai Xai For Sustainable Development
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Author : Lakshmi D
language : en
Publisher: CRC Press
Release Date : 2024-06-26
Explainable Ai Xai For Sustainable Development written by Lakshmi D and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-26 with Technology & Engineering categories.
This book presents innovative research works to automate, innovate, design, and deploy AI fo real-world applications. It discusses AI applications in major cutting-edge technologies and details about deployment solutions for different applications for sustainable development. The application of Blockchain techniques illustrates the ways of optimisation algorithms in this book. The challenges associated with AI deployment are also discussed in detail, and edge computing with machine learning solutions is explained. This book provides multi-domain applications of AI to the readers to help find innovative methods towards the business, sustainability, and customer outreach paradigms in the AI domain. • Focuses on virtual machine placement and migration techniques for cloud data centres • Presents the role of machine learning and meta-heuristic approaches for optimisation in cloud computing services • Includes application of placement techniques for quality of service, performance, and reliability improvement • Explores data centre resource management, load balancing and orchestration using machine learning techniques • Analyses dynamic and scalable resource scheduling with a focus on resource management The reference work is for postgraduate students, professionals, and academic researchers in computer science and information technology.
Explainable Artificial Intelligence For Sustainable Development
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Author : Ewa Wanda Ziemba
language : en
Publisher: Routledge
Release Date : 2025-10-13
Explainable Artificial Intelligence For Sustainable Development written by Ewa Wanda Ziemba and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-10-13 with Business & Economics categories.
This book explores how transparent, interpretable AI technologies can support sustainable progress across industries and societies. It brings together theoretical foundations and practical applications of explainable AI (XAI) aligned with the UN's Sustainable Development Goals (SDGs), offering insights into its potential for responsible innovation. It provides a comprehensive understanding of how explainable AI enhances trust, ethics, and accountability in AI-driven decisions. Through diverse case studies -- from banking, e-commerce, and sustainability reporting, to psychiatry, education, and energy--the book demonstrates XAI's transformative role in driving sustainable business practices and societal well-being. Each chapter merges cutting-edge research with real-world examples, making complex AI systems more accessible and socially relevant. The book bridges gaps between disciplines, offering a holistic and actionable perspective on AI for sustainability. This book is a vital resource for researchers, professionals, and policymakers seeking to harness AI responsibly. Academics in social sciences, economics, and information systems will find a strong theoretical base, while practitioners in business, government, and NGOs gain practical tools for implementing XAI in real contexts. It is also well-suited for students, educators, and AI enthusiasts aiming to align innovation with sustainable, ethical transformation.
Explainable Ai Xai For Sustainable Development
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Author : Lakshmi D
language : en
Publisher: C&h/CRC Press
Release Date : 2024-08
Explainable Ai Xai For Sustainable Development written by Lakshmi D and has been published by C&h/CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08 with Technology & Engineering categories.
"This book presents innovative research works to automate, innovate, design, and deploy AI for Real-World Applications. It discussed AI applications in major cutting-edge technologies and details about deployment solutions for different applications for sustainable development. The application of Blockchain techniques illustrates the ways of optimisation algorithms in this book. The challenges associated with AI deployment are also discussed in detail, and edge computing with machine learning solutions is explained. This book provides multi-domain applications of AI to the readers to help find innovative methods towards the business, sustainability, and customer outreach paradigms in the AI domain. Focuses on Virtual machine placement and migration techniques for cloud data centres Presents the role of machine learning and meta-heuristic approaches for optimisation in cloud computing services Includes application of placement techniques for quality of service, performance, and reliability improvement Explores data centre resource management, load balancing and orchestration using machine learning techniques Analyses Dynamic and scalable resource scheduling with a focus on resource management The reference work is for postgraduate students, professionals, and academic researchers in computer science and information technology"--
Explainable Artificial Intelligence In The Digital Sustainability Administration
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Author : Alhamzah Alnoor
language : en
Publisher: Springer Nature
Release Date : 2024-06-28
Explainable Artificial Intelligence In The Digital Sustainability Administration written by Alhamzah Alnoor and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-28 with Computers categories.
This book explores current research trends in the context of the explainable artificial intelligence’s impact on the digital sustainability trend while delving into case studies on education, tourism, marketing, and finance. These trends are examined through various case studies utilizing distinct analytical methods. The chapters are expected to support scholars and postgraduate students in furthering their research in this field and in recognizing prospective advancements in the applications of artificial intelligence.
Explainable Artificial Intelligence And Solar Energy Integration
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Author : Pandey, Jay Kumar
language : en
Publisher: IGI Global
Release Date : 2024-10-16
Explainable Artificial Intelligence And Solar Energy Integration written by Pandey, Jay Kumar and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-16 with Computers categories.
As sustainable energy becomes the future, integrating solar power into existing systems presents critical challenges. Intelligent solutions are required to optimize energy production while maintaining transparency, reliability, and trust in decision-making processes. The growing complexity of these systems calls for advanced technologies that can ensure efficiency while addressing the unique demands of renewable energy sources. Explainable Artificial Intelligence and Solar Energy Integration explores how Explainable AI (XAI) enhances transparency in AI-driven solutions for solar energy integration. By showcasing XAI's role in improving energy efficiency and sustainability, the book bridges the gap between AI potential and real-world solar energy applications. It serves as a comprehensive resource for researchers, engineers, policymakers, and students, offering both technical insights and practical case studies.
Artificial Intelligence And Edge Computing For Sustainable Ocean Health
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Author : Debashis De
language : en
Publisher: Springer Nature
Release Date : 2024-09-11
Artificial Intelligence And Edge Computing For Sustainable Ocean Health written by Debashis De and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-11 with Mathematics categories.
Artificial Intelligence and Edge Computing for Sustainable Ocean Health explores the transformative role of AI and edge computing in preserving and enhancing ocean health. The growing influence of Artificial Intelligence (AI), along with the Internet of Things (IoT) in generating wide coverage of sensor networks, and Edge Computing (EC) has paved the way for investigation of underwater as well as massive marine data, thereby generating huge potential for credible research opportunities for these domains. This book’s journey begins with a broad overview of Artificial Intelligence for Sustainable Ocean Health, setting the foundation for understanding AI's potential in marine conservation. The subsequent chapter, Role of Artificial Intelligence and Technologies in Improving Ocean Health in Promoting Tourism, illustrates the synergy between technological advancements and sustainable tourism practices, demonstrating how AI can enhance the attractiveness and preservation of marine destinations. The identification, restoration, and monitoring of marine resources along with the utilization of technology continues in Utilization of Underwater Wireless Sensor Network through Supervising a Random Network Environment in the Ocean Environment has been extensively dealt with. The technical challenges of underwater imaging, essential for accurate data collection and analysis has been discussed. The importance of Explainable AI is discussed in chapters like Sustainable Development Goal 14: Explainable AI (XAI) for Ocean Health, Explainable AI (XAI) for Ocean Health: Exploring the Role of Explainable AI in Enhancing Ocean Health, and A Comprehensive Study of AI (XAI) for Ocean Health Monitoring, which emphasize transparency and trust in AI systems. Further, Revolutionizing Internet of Underwater Things with Federated Learning, Underwater Drone, Underwater Imagery with AI/ML and IoT in ROV Technology and Ocean Cleanup has been demonstrated using innovative approaches to addressing underwater challenges. The book also includes a Review on the Optics and Photonics in Environmental Sustainability, focusing on the role of optics in marine conservation. Security issues are tackled in Intelligent Hash Function Based Key-Exchange Scheme for Ocean Underwater Data Transmission, and the overarching potential of AI in marine resource management is discussed in Artificial Intelligence as Key-enabler for Safeguarding the Marine Resources.
Explainable Ai And Blockchain For Secure And Agile Supply Chains
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Author : Ajay Kumar Sharma
language : en
Publisher: CRC Press
Release Date : 2025-05-26
Explainable Ai And Blockchain For Secure And Agile Supply Chains written by Ajay Kumar Sharma and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-26 with Computers categories.
This book examines the transformative potential of integrating Explainable Artificial Intelligence (XAI) and blockchain technology in modern supply chain management. It explores how these innovative technologies address pressing challenges such as data transparency, traceability, fraud prevention, and operational efficiency in complex global supply chains. With detailed analyses, case studies, and real-world applications, the chapters provide insights into leveraging XAI to demystify AI decision-making and blockchain to ensure data security and decentralized accountability. Key topics include sustainable practices, smart contract automation, and human-centric approaches to enhancing trust and collaboration among stakeholders. This comprehensive volume serves as a valuable resource for academics, industry leaders, and policymakers seeking to harness cutting-edge technologies for building resilient and transparent supply chains.
Artificial Intelligence And Machine Learning For Sustainable Development
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Author : Pawan Whig
language : en
Publisher: CRC Press
Release Date : 2024-12-18
Artificial Intelligence And Machine Learning For Sustainable Development written by Pawan Whig and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-18 with Computers categories.
Artificial Intelligence and Machine Learning for Sustainable Development is a comprehensive exploration of how artificial intelligence (AI) and machine learning (ML) technologies are revolutionizing the field of sustainable development. The book examines cutting-edge innovations, practical applications, and potential challenges in harnessing AI and ML to address global sustainability issues. It offers insights into how these technologies can optimize resource management, improve environmental monitoring, enhance decision-making processes, and promote equitable, eco-friendly solutions. This book would be of special interest to researchers, policymakers, and practitioners seeking to leverage cutting-edge technology for a more sustainable future.
Cutting Edge Solutions For Advancing Sustainable Development Exploring Technological Horizons For Sustainability Part 1
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Author : Pawan Whig, Pavika Sharma, Nikihita Yathiraju
language : en
Publisher: Bentham Science Publishers
Release Date : 2025-03-14
Cutting Edge Solutions For Advancing Sustainable Development Exploring Technological Horizons For Sustainability Part 1 written by Pawan Whig, Pavika Sharma, Nikihita Yathiraju and has been published by Bentham Science Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-14 with Business & Economics categories.
Cutting-Edge Solutions for Advancing Sustainable Development: Exploring Technological Horizons for Sustainability – Part 1 explores the transformative role of emerging technologies in driving global sustainability. This book highlights how artificial intelligence, machine learning, biotechnology, digitization, and smart city innovations contribute to tackling critical environmental and social challenges. Spanning multiple industries, the book examines AI-powered solutions for cybersecurity and retail, sustainable urban planning through IoT and data analytics, green transportation advancements, and the role of digital transformation in achieving sustainable progress. Readers will gain valuable insights into pioneering innovations shaping a more sustainable future, with case studies and real-world applications. Key Features: - In-depth analysis of AI, IoT, biotech, and digitalization for sustainability. - Practical case studies and real-world applications. - Exploration of sustainability in smart cities, transportation, and cybersecurity. - Expert insights on integrating technology for a greener future.
Artificial Intelligence Ethics And The Digital Society Pathways To Sustainable Development
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Author : Anju Beniwal
language : en
Publisher: Deep Science Publishing
Release Date : 2025-06-25
Artificial Intelligence Ethics And The Digital Society Pathways To Sustainable Development written by Anju Beniwal 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 2025-06-25 with Computers categories.
In recent years, the rapid advancement of technology—particularly Artificial Intelligence (AI) and digital innovations—has fundamentally transformed every dimension of human society. These developments have not only reshaped our economies and lifestyles but have also raised critical ethical, environmental, and sociological questions. This edited volume, brings together a diverse range of scholarly contributions that explore the intersections between technological progress, sustainable development, and social well-being. The chapters included in this volume reflect contributions from scholars and researchers across India, encompassing disciplines such as Sociology, History, Economics, Political Science, and Liberal Education. The themes range from the role of AI in everyday life and the impact of smart cities on environmental management, to localized frameworks of sustainability, the digital transformation of food systems, and the media's influence on social awareness campaigns. Special emphasis is placed on how Artificial Intelligence and digital technologies can both aid and challenge the achievement of Sustainable Development Goals (SDGs). Simultaneously, the ethical frameworks surrounding these innovations are explored to ensure technology serves humanity without compromising core societal values. This book also examines grassroots realities and region-specific concerns—such as sustainable practices in Assam, the digitalization of India’s organic food sector, and menstrual taboos across cultures—providing an inclusive and grounded understanding of the diverse sociocultural contexts in which sustainability must be achieved. I hope that this volume serves not only as a valuable academic resource but also as a catalyst for interdisciplinary dialogue and policy innovation. It is my belief that such collaborative and ethical inquiry is essential to building a more just, equitable, and sustainable society in the face of the 21st century’s challenges. I am grateful to all the contributors who have enriched this volume with their research and insights. Their dedication to critical inquiry and commitment to social change is what makes this collection both timely and transformative.