AI and Data Technologies in Advancing Sustainable Development Goals

This issue features research on how AI and data technologies can be used to advance the United Nations (UN) sustainable development goals (SDGs) [1].Artificial intelligence (AI) and data technologies, such as machine learning, natural language processing, the Internet of Things, and other datadriven analytical techniques, are transforming various industries by providing advanced data analysis, automation, and data-driven decision-making capabilities.Encompassing a broad range of computational tools, systems, and methodologies, such advanced technologies remain imperfect due to various inherent limitations arising from biases in the training data, lack of transparency and interpretability in decision-making processes, and their environmental footprint, among other factors [2].Despite their limitations, AI and data technologies are valuable tools for supporting efforts across various sectors, communities, and countries to meet the SDGs.These goals are complex and multifaceted, aiming to address a broad spectrum of global challenges, including poverty (SDG 1), inequality (SDG 10), climate change (SDG 13), environmental degradation (e.g., SDG 14 and SDG 15), and to ensure Digital Object Identifier 10.