This paper delves at the impact of innovative AI on carbon credit accounting and taxes, specifically looking at how it relates to the 2030 Sustainable Development Goals (SDGs) set by the United Nations. Carbon credit monitoring, validation, and taxation must be precise and efficient since carbon markets are becoming more important in the battle against climate change. Innovative solutions for boosting scalability, accuracy, and transparency in carbon credit systems may be found in creative artificial intelligence technologies like sophisticated data analytics and machine learning. In order to find ways that artificial intelligence (AI) may improve compliance, audit trails, and tax revenue collection for governments, this paper analyzes current frameworks for carbon credit accounting and taxes. Furthermore, the article examines how these developments might guarantee honest and open environmental accounting, which in turn directly supports SDG objectives, especially Goal 13 (Climate Action). This study offers policy ideas for adjusting AI in carbon markets in a way that is both ethical and successful by analyzing and comparing several case studies.