Published Article

ABSTRACT

This study explores the transformative role of Artificial Intelligence (AI) in modern weather monitoring and forecasting, focusing on its prospects and strategic applications as perceived by environmental experts. AI technologies, particularly machine learning and neural networks, enhance prediction accuracy and disaster preparedness by analyzing vast meteorological datasets. Experts emphasize the integration of AI with traditional models for improved efficiency and reliability. Key strategies include data openness, ethical governance, and interdisciplinary collaboration. The paper highlights the importance of localized forecasting, capacity building, and policy support. Findings suggest that AI holds significant promise for climate resilience. The study concluded that experts emphasize the need for strategic integration, including data sharing, ethical safeguards, and cross-sector collaboration. The study also recommended that it helps to develop guidelines for ethical AI use, addressing algorithmic bias, explainability, and data governance to maintain public trust and equitable outcomes.