Nuraini Desty Nurmasari, Muhammad Roil Bilad
Artificial Intelligence (AI) is increasingly pivotal in sustainable green finance, supporting risk analytics, investment management, environmental, social, and governance (ESG) assessment, and sustainable reporting. This review synthesizes recent literature on how machine learning, deep learning, and natural language processing enhance credit-risk modeling, portfolio optimization, and ESG evaluation. Key developments include default prediction using novel variables (e.g. household or climate data), deep learning for market forecasting and portfolio returns, and natural language processing to detect greenwashing and improve ESG ratings. AI tools also enable personalized green investment strategies and more automated reporting, but they raise challenges in ethical AI governance, algorithmic bias, regulatory compliance, and AI’s own carbon footprint. Two summary tables distill applications in (1) risk and investment management and (2) ESG and sustainability reporting. We conclude with a focused interdisciplinary research agenda for responsible AI in green finance. © The Author(s) 2026.
Department of Management, Faculty of Economics and Business, Universitas Brawijaya, Jl. Veteran No. 10-11, Malang, 65145, Indonesia; Faculty of Integrated Technologies, Universiti Brunei Darussalam, Jalan Tungku Link, Gadong, BE1410, Brunei Darussalam; Faculty of Applied Science and Education, Universitas Pendidikan Mandalika, Jl. Pemuda No 59A, Mataram, 83126, Indonesia
