Deploying Artificial Intelligence To Achieve The Un Sustainable Development Goals
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Deploying Artificial Intelligence To Achieve The Un Sustainable Development Goals
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Author : Arthur Guseni Oliver Mutambara
language : en
Publisher: Springer Nature
Release Date : 2025-07-01
Deploying Artificial Intelligence To Achieve The Un Sustainable Development Goals written by Arthur Guseni Oliver Mutambara and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-01 with Technology & Engineering categories.
This book provides research insights into how Artificial Intelligence (AI) can be used to achieve the UN’s Sustainable Development Goals (SDGs) – 17 interconnected goals designed to address the world’s most pressing challenges by 2030. It reviews the SDGs and discusses why progress has been mixed and uneven across different countries, regions and goals. The book posits that attaining the SDGs will depend on enhanced global cooperation, increased funding, improved infrastructure, public-private partnerships, regional/continental integration, addressing the climate crisis, inclusive economic transformation, and visionary leadership. More specifically, the publication advocates leveraging innovative and transformative technologies, particularly the deployment of AI. The research acknowledges the risks of digital imperialism, data colonialism and technological exclusion, especially in emerging and least industrialised economies. Hence, in deploying AI to achieve the SDGs, the book puts a premium on decoloniality in AI systems and democratising AI technology. Provides a critique of the current SDGs approach by reframing the goals as a comprehensive risk assessment of humanity’s most pressing threats in the 21st century; Features broad and holistic interventions to accelerate the attainment of the SDGs; Provides a comprehensive but accessible introduction to AI concepts and advanced innovations such as AlphaFold, ChatGPT-4, DeepSeek-R1, Grok 3, and autonomous vehicles (drones and driverless cars); Discusses the AI strategies of leading economies and assesses the impact of AI on geopolitics; Provides a comprehensive critique of global AI efforts by the UN and African Union, while proffering alternative paradigms and frameworks; Presents the enablers, drivers and strategic framework of AI deployment to achieve the SDGs; Develops and presents details of six distinct but related components of a novel Strategic Framework for developing and adopting AI – Vision, Strategy, Policy, Governance, Legislation/Regulations, and Implementation Matrix; Outlines specific ways that AI can be deployed to achieve each of the 17 SDGs and reviews seven countries’ experiences; Explores an innovative, forward-looking, and technology-driven framework for equitable global socio-economic transformation to succeed the SDGs post-2030.
Artificial Intelligence
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Author : Arthur G.O. Mutambara
language : en
Publisher: CRC Press
Release Date : 2025-04-09
Artificial Intelligence written by Arthur G.O. Mutambara and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-09 with Computers categories.
This book presents contextualised and detailed research on Artificial Intelligence (AI) and the Global South. It examines the key challenges of these emerging and least industrialised countries while proffering holistic and comprehensive solutions. The book then explains how AI, as part of these broad interventions, can drive Global South economies to achieve inclusive development and shared prosperity. The book outlines how countries can swiftly prepare to adopt and develop AI across all sectors. It presents novel national, regional, and continental AI adoption, development, and implementation frameworks. Features: Broad non-AI interventions and prescriptions to address Global South challenges A comprehensive but accessible introduction to AI concepts, technology, infrastructure, systems, and innovations such as AlphaFold, ChatGPT-4, and DeepSeek-R1 An overview of AI-related technologies such as quantum computing, battery energy storage systems, 3D printing, nanotechnology, IoT, and blockchain How to prepare emerging economies to unlock the benefits of AI while mitigating the risks Discussion of specific AI applications in 11 critical Global South sectors Details of 11 sector case studies of AI adoption in the Global South and Global North Ten country case studies: Sharing emergent AI experiences in the Global South AI adoption framework: vision, strategy, policy, governance, legislation/regulation, and implementation matrix A framework for democratising and decolonising AI The value proposition for AI research, development, and ownership in the Global South A case for the participation of the Global South in the AI semiconductor industry This book is aimed at policymakers, business leaders, graduate students, academics, researchers, strategic thinkers, and world leaders seeking to understand and leverage the transformative role of AI-based systems in achieving inclusive development, economic transformation, and shared prosperity.
Artificial Intelligence In Society
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Author : OECD
language : en
Publisher: OECD Publishing
Release Date : 2019-06-11
Artificial Intelligence In Society written by OECD and has been published by OECD Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-06-11 with categories.
The artificial intelligence (AI) landscape has evolved significantly from 1950 when Alan Turing first posed the question of whether machines can think. Today, AI is transforming societies and economies. It promises to generate productivity gains, improve well-being and help address global challenges, such as climate change, resource scarcity and health crises.
Sustainable Data Management
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Author : Reem Khamis Hamdan
language : en
Publisher: Springer Nature
Release Date : 2025-04-28
Sustainable Data Management written by Reem Khamis Hamdan and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-28 with Computers categories.
This book dives deeper into the dynamic world of data and technology with the Sustainable Data Management and explores advanced strategies and innovative approaches to harnessing big data, leveraging communication technology, and mastering digital leadership in today's evolving business landscape. Uncover insights and techniques that propel readers organization towards sustainable success in the digital age.
The Changing Landscape Of Workplace And Workforce
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Author : Hadi El-Farr
language : en
Publisher: BoD – Books on Demand
Release Date : 2024-06-05
The Changing Landscape Of Workplace And Workforce written by Hadi El-Farr and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-05 with Business & Economics categories.
This book represents a collaborative effort by a multinational group of scholars aiming to contribute to the evolving discourse on the nature of work and the workplace in the 21st century. Its chapters offer a blend of literature reviews, theoretical insights, and empirical findings drawn from diverse national contexts. Employing a range of research methods including case studies, interviews, surveys, and literature reviews, the book provides a comprehensive exploration of the changing landscape of the workplace and workforce. The initial section of the book looks into the characteristics and impacts of Industry 4.0, with a particular focus on the ramifications of artificial intelligence and other technological advancements. It offers actionable recommendations for policymakers, organizations, and researchers to navigate the associated challenges and leverage the opportunities presented. The subsequent section shifts its attention to the transformative effects of the COVID-19 pandemic on the workforce, with a spotlight on remote work and alternative work arrangements both during and after the pandemic. This section examines the nuanced benefits and challenges inherent in such arrangements and offers strategies for organizations to optimize their implementation for enhanced effectiveness and efficiency. The final section of the book is dedicated to exploring the interconnected issues of diversity and immigration, which have emerged as significant global concerns. It underscores the importance of managerial and human resource practices in fostering diversity, equity, and inclusion within organizations. Additionally, this section addresses the escalating trend of brain drain from developing countries and proposes policy interventions aimed at retaining skilled workers and mitigating the associated challenges.
Basic Sciences For Sustainable Development
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Author : Ponnadurai Ramasami
language : en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date : 2023-03-20
Basic Sciences For Sustainable Development written by Ponnadurai Ramasami 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 2023-03-20 with Science categories.
The year 2022 has been declared by the United Nations as the “International Year of Basic Sciences for Sustainable Development”. Sustainable development is focused on the UN’s 17 Sustainable Development Goals. These require the use of basic sciences. This edited book (volume 1) is a collection of twelve invited and peer-reviewed contributions from chemistry, materials science, energy applications, and artificial intelligence.
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.
Reflections On Artificial Intelligence For Humanity
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Author : Bertrand Braunschweig
language : en
Publisher: Springer Nature
Release Date : 2021-02-06
Reflections On Artificial Intelligence For Humanity written by Bertrand Braunschweig and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-02-06 with Computers categories.
We already observe the positive effects of AI in almost every field, and foresee its potential to help address our sustainable development goals and the urgent challenges for the preservation of the environment. We also perceive that the risks related to the safety, security, confidentiality, and fairness of AI systems, the threats to free will of possibly manipulative systems, as well as the impact of AI on the economy, employment, human rights, equality, diversity, inclusion, and social cohesion need to be better assessed. The development and use of AI must be guided by principles of social cohesion, environmental sustainability, resource sharing, and inclusion. It has to integrate human rights, and social, cultural, and ethical values of democracy. It requires continued education and training as well as continual assessment of its effects through social deliberation. The “Reflections on AI for Humanity” proposed in this book develop the following issues and sketch approaches for addressing them: How can we ensure the security requirements of critical applications and the safety and confidentiality of data communication and processing? What techniques and regulations for the validation, certification, and audit of AI tools are needed to develop confidence in AI? How can we identify and overcome biases in algorithms? How do we design systems that respect essential human values, ensuring moral equality and inclusion? What kinds of governance mechanisms are needed for personal data, metadata, and aggregated data at various levels? What are the effects of AI and automation on the transformation and social division of labor? What are the impacts on economic structures? What proactive and accommodation measures will be required? How will people benefit from decision support systems and personal digital assistants without the risk of manipulation? How do we design transparent and intelligible procedures and ensure that their functions reflect our values and criteria? How can we anticipate failure and restore human control over an AI system when it operates outside its intended scope? How can we devote a substantial part of our research and development resources to the major challenges of our time such as climate, environment, health, and education?
Eu Policy And Legal Framework For Artificial Intelligence Robotics And Related Technologies The Ai Act
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Author : Nikos Th. Nikolinakos
language : en
Publisher: Springer Nature
Release Date : 2023-07-06
Eu Policy And Legal Framework For Artificial Intelligence Robotics And Related Technologies The Ai Act written by Nikos Th. Nikolinakos and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-06 with Law categories.
Artificial Intelligence (AI) can benefit our society and economy, but also brings with it new challenges and raises legal and ethical questions. According to the author of this comprehensive analysis, it is imperative to ensure that AI is developed and applied in an appropriate legal and regulatory framework that promotes innovation and investment and, at the same time, addresses the risks associated with certain uses of AI-related technologies. Essential to understanding the relationship between policy and law, this book traces the evolution of EU policy on artificial intelligence and robotics, focusing in particular on the EU’s ethical framework for AI, which defines trust as a prerequisite for ensuring a human-centric approach. The main part of the book provides a thorough and systematic analysis of the Commission’s 2021 proposed AI Act, which establishes harmonised rules for the development, placement on the market and use of AI systems in the EU. The author painstakingly compares the Commission’s proposed AI Act with the numerous “compromise” proposals of the Council of the European Union, leading to the final version of the Council’s AI Act (general approach) and its formal adoption on 6 December 2022. The author also examines with extraordinary detail the amendments proposed by the relevant committees and political groups of the European Parliament, revealing the position the Parliament is likely to adopt in the forthcoming negotiations with the Commission and the Council on the text of the AI Act. Numerous legislative and policy documents are presented in detail, while the analysis also considers the comments made by all interested parties (e.g. the European Commission, Council of the European Union, European Parliament, governmental organisations, national competent authorities, and stakeholders/actors with different/conflicting interests, such as corporations, business and consumer associations, civil society and other non-profit organisations). In the course of its in-depth analysis, this book will provide readers with crucial insight into the reasons behind the European Institutions’ different approaches and the often contradictory interests of stakeholders. Because the policy arguments are carefully balanced and drafted with scrupulous care, this volume will establish itself as a reference resource to be consulted for years to come.