Applications of Artificial Intelligence in Sustainable Development: Advancing Environmental, Economic, and Social Goals

Abstract

Artificial intelligence (AI) plays a key role in achieving sustainable development through innovative applications across various sectors, including healthcare, energy, data protection, and social inclusion. The use of advanced algorithms, such as convolutional neural networks and metaheuristic methods, can significantly improve energy efficiency and contribute to carbon emissions reduction, contribute enhancing healthcare and social services. Application in healthcare provides faster identification of health problems, reducing the need for expensive tests and equipment, while application in agriculture may lead towards sustainable use of limited resources, increased stability in food supply and reduction of negative environmental impact. Furthermore,
advancements in AI contribute to creating safer, more inclusive communities by addressing issues such as cyberbullying and
harassment. This, in turn, fosters social cohesion and supports human rights, which are vital for building a sustainable society.
Thus, AI proves to be a critical factor in achieving sustainable development through its innovative and efficient applications in
various fields. Further research and development of these technologies can significantly help address global challenges,
improve quality of life, and protect the environment, all of which are underlying components of a sustainable society.