Artificial Intelligence in Action: Quantifying Sustainability Improvements Across Key Sectors

Artificial Intelligence (AI) has emerged as a transformative force in advancing sustainable environmental development. This paper explores the integration of AI technologies across key sectors such as climate modeling, precision agriculture, biodiversity monitoring, waste management, and environmental policy. Through data-driven approaches, AI enhances predictive accuracy, optimizes resource use, and supports evidence-based decision-making aligned with the United Nations Sustainable Development Goals (SDGs). Quantitative findings demonstrate significant improvements in environmental indicators following AI integration. For example, deforestation detection accuracy increased from ۶۵% to ۹۲%, biodiversity monitoring coverage expanded from ۳۰% to ۸۰% of protected zones, and carbon emissions reduction potential rose from -۵% to -۱۸% annually. These results highlight AI's capacity to enhance ecological resilience and operational efficiency. The study also emphasizes the importance of ethical frameworks, transparency, and stakeholder engagement in ensuring responsible AI deployment. Overall, this research positions AI as a catalyst for systemic change in global environmental governance and long-term sustainability.

کلیدواژه ها:

Artificial Intelligence (AI) ، Sustainability ، Climate Modeling ، Sustainable Development Goal (SDG) ، Environmental Governance ، Biodiversity