Artificial Intelligence Applications in Sustainable Financial Management: A Review Study
Abstract
The integration of Artificial Intelligence (AI) into sustainable financial management has gained significant attention due to increasing global concerns regarding environmental, social, and governance (ESG) practices. This review paper explores the role of AI technologies in promoting sustainable finance through intelligent investment analysis, ESG risk assessment, green portfolio optimization, and sustainable banking operations. The study critically examines machine learning, predictive analytics, natural language processing, and data mining approaches used for evaluating sustainability metrics in financial systems. Existing literature from global financial institutions and academic databases is synthesized to identify current trends, implementation challenges, and research gaps in AI-driven sustainable finance. The paper further discusses ethical concerns, transparency issues, and regulatory frameworks associated with AI-based ESG decision-making models. The findings indicate that AI has substantial potential to improve sustainability-focused financial strategies while supporting responsible investment practices and long-term economic resilience.
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