Abstract
The profound impact of artificial intelligence (AI) on various aspects of human life is evident in its evolution. Recently, it has become a pivotal force in addressing developmental challenges, specifically those pertaining to sustainable development (SD). Despite its increasing importance, there is a conspicuous lack of systematic studies analyzing the role of AI research in contributing to SD. This chapter aims to bridge this gap by revealing essential bibliometric trends and tracing the evolution of concepts in the domain of AI applications for sustainable development goals.
TopAs AI applications in sustainable development gained prominence, scientific papers likely began addressing policy implications and ethical considerations. Researchers likely explored how AI-driven interventions align with global sustainability goals and discussed the ethical challenges associated with implementing AI in decision-making processes (refer to table 1).
Key Terms in this Chapter
Factorial Analysis: Factorial analysis provides a powerful tool for investigating the effects of multiple factors on a dependent variable and understanding the interplay between different variables in experimental research.
Bibliometric Analysis: Bibliometric analysis is a quantitative method used to analyze academic literature, typically focusing on publications such as journal articles, conference proceedings, and patents. This analysis involves examining various aspects of these publications, including citation patterns, authorship, collaboration networks, and research trends. Bibliometric analyses can provide insights into the productivity, impact, and structure of research within a specific field or across multiple disciplines.
Environmental Sustainability: Environmental sustainability refers to the responsible and balanced use of natural resources to meet the needs of the present generation without compromising the ability of future generations to meet their own needs. It encompasses various aspects of environmental protection, conservation, and stewardship, aiming to maintain the health and resilience of ecosystems while promoting social and economic well-being.
Green Finance: Green finance refers to financial products, services, and investments that are aimed at promoting environmental sustainability and mitigating climate change. It involves directing financial resources toward projects, businesses, and initiatives that have positive environmental impacts or contribute to the transition to a low-carbon economy. Green finance encompasses various financial instruments, strategies, and policies designed to support sustainable development and address environmental challenges.
Thematic Map: Thematic map is a type of map that visualizes a specific theme, topic, or pattern by representing geographic data and spatial relationships. Unlike traditional maps that primarily display geographical features such as rivers, mountains, and political boundaries, thematic maps focus on conveying information related to a particular subject matter. Thematic maps can be used to illustrate a wide range of topics, including population distribution, land use, climate patterns, economic indicators, social trends, and more.
SDGs: The Sustainable Development Goals (SDGs) are a set of 17 interconnected global goals adopted by the United Nations General Assembly in September 2015 as part of the 2030 Agenda for Sustainable Development. The SDGs build upon the success of the Millennium Development Goals (MDGs) and aim to address a broader range of social, economic, and environmental challenges facing the world today. The goals are intended to guide global efforts toward sustainable development and to ensure that no one is left behind in the pursuit of a more equitable, inclusive, and environmentally sustainable future.
Artificial Intelligence: Artificial intelligence is a branch of computer science that deals with the development of intelligent machines that can perform tasks that typically require human intelligence. These tasks include learning, reasoning, problem-solving, perception, understanding natural language, and even interacting with humans.