USE OF ARTIFICIAL INTELLIGENCE TECHNOLOGIES IN ASSESSING PROJECT EFFICIENCY BASED ON ESG CRITERIA

Abstract

In order to evaluate the efficacy of investment projects based on ESG (Environmental, Social, and Governance) criteria, this article explores the theoretical and practical aspects of utilizing artificial intelligence technologies. The study demonstrates artificial intelligence’s capacity to handle massive volumes of data, evaluate ESG indicators, recognize hazards, and project the project’s long-term viability. Additionally, it looks at how to improve the quality of investment decisions by combining traditional financial assessment techniques like NPV and IRR indicators with ESG factors. The study’s findings demonstrate that the application of AI technologies enables a thorough evaluation of the outcomes of corporate, social, and environmental governance as well as the financial viability of projects. The article's findings help to advance contemporary digital methods for evaluating and overseeing investment projects