Use of artificial intelligence technologies to achieve the goals of environmentally sustainable development

Abstract

This article aims to develop a concept for utilizing artificial intelligence (AI) technologies to achieve environmentally sustainable development goals, leveraging a suite of technologies for environmental protection and natural resource management in the digital age. The study employs risk-oriented approaches, system analysis, and modeling to explore the application of AI in attaining environmental sustainability objectives. Research Results: 1.The study presents an analysis of AI technologies applied to achieving environmentally sustainable development goals. 2. It formulates a concept for the role of AI in ensuring these goals are met. The research highlights AI's emerging role as a crucial tool in achieving sustainable development goals (SDGs). It underscores the importance of exploring innovative AI approaches to sustainable development. AI's capability to integrate vast datasets, such as satellite imagery, sensor data, and social media inputs, is proven to facilitate the creation of complex models and forecasts. Deep learning techniques are applied to analyze intricate environmental data, including climate change modeling, pollution detection, and biodiversity monitoring. Additionally, AI is used to develop intelligent ecosystem management systems that can adapt in real-time to environmental changes. The study addresses key challenges and opportunities for advancing the use of AI technologies in achieving environmentally sustainable development goals. AI holds significant potential to accelerate progress toward the SDGs, although it necessitates careful consideration of associated risks and challenges.