ROLE OF ARTIFICIAL INTELLIGENCE IN SUSTAINABLE DEVELOPMENT AND CLIMATE ACTION

Artificial Intelligence (AI) has become a revolutionary technology that is redefining the modern world and is increasingly playing a critical role in green technology, sustainable development, and climate-aware intelligent systems. Improvements in computational capabilities, the accessibility of extensive datasets, and the creation of advanced learning algorithms have accelerated the adoption of AI across diverse domains. Today, AI is not limited to automation but serves as a powerful tool for enhancing decision-making, improving efficiency, and enabling innovative solutions to complex real-world problems. This paper begins by outlining the historical evolution of AI, highlighting the transition from rule-based systems to data-driven methodologies such as machine learning and deep learning. The paper then examines fundamental AI technologies, which encompass natural language processing, machine learning, deep learning, and generative AI, which collectively form the foundation of contemporary intelligent systems. The study further explores key application areas where AI has demonstrated significant impact, such as sustainable healthcare systems, smart energy management, green transportation, climate monitoring, industry optimization, and smart cities. These applications illustrate how AI systems support real-time data analysis, personalized services, predictive decision-making, and operational optimization. Although the advantages of adopting AI are substantial, the paper also addresses critical challenges and ethical concerns, including data bias, lack of transparency, privacy risks, security issues, and the societal impact on employment. These challenges highlight the importance of responsible design, governance, and human-centered deployment of AI technologies. Finally, the paper discusses future directions of artificial intelligence, emphasizing explainable AI, data-efficient learning, human–AI collaboration, and the need for ethical and regulatory frameworks. By providing a balanced perspective on both opportunities and limitations, this paper aims to contribute to a deeper understanding of how artificial intelligence can be applied responsibly to build efficient, sustainable, and environmentally conscious technological systems.

Keywords: Artificial Intelligence, Green Technology, Sustainable Development, Climate Action, Smart Systems.