The role of artificial intelligence in supporting green financing mechanisms

Abstract

The role of artificial intelligence in supporting green finance mechanisms is a recent trend that combines technological development with achieving sustainable development goals. The role of artificial intelligence is highlighted in how AI technologies contribute to improving the allocation of financial resources to environmentally friendly investments by analyzing massive financial and environmental data, as well as its role in predicting climate risks and supporting green finance decisions, In this context, we highlight the role of artificial intelligence in enhancing transparency and credibility in environmental disclosure to reduce investments that negatively affect the environment, as well as the contribution of artificial intelligence in supporting green financing instruments such as green bonds through evaluation and follow-up.

The importance of the research is evident from the fact that it addresses a modern topic that combines technological development represented by artificial intelligence and achieving sustainable development through green finance, as well as highlighting the role of artificial intelligence technologies in enhancing the efficiency of allocating financial resources towards environmentally friendly projects, analyzing big financial and environmental data and predicting climate risks, as well as its role in enhancing transparency and credibility in environmental impact. The importance is also highlighted in supporting and developing green finance mechanisms to be consistent with the goals of sustainable development.

 The study of the role of artificial intelligence in supporting green finance mechanisms is based on the descriptive analytical approach, by stating the subject of artificial intelligence and describing its importance in general, and stating its most important areas, as well as analyzing the role that artificial intelligence technologies play in improving the efficiency of allocating financial resources, and analyzing financial and environmental data.