Generative AI-Powered Solutions for Sustainable Financial Ecosystems: A Neural Network Approach to Driving Social and Environmental Impact

Abstract

This vision outlines feasible paths using state-of-the-art generative AI and financial neural networks for financial institutions to move towards the net-zero goal by 2050 and create a sustainable social and financial ecosystem. There will be an overview of the transformative effects of generative AI on the financial industry, including products and services development. There will be a discussion on innovative implementations of generative AI-powered and financial NN-based solutions for financial institutions that create and promote new impactful and sustainable financial products and services, as well as their social and environmental impact projections and evaluations. All financial institutions, including commercial banks, investment banks, asset management firms, market makers, hedge funds, insurance companies, as well as regulators, are the target audience for this vision.The objective of this research is to present cutting-edge, generative AI-powered solutions for financial institutions that promote sustainable social and environmental impact. Recently, immense advances in generative AI – large language models (LLMs) trained on huge text datasets – have sparked great interest and excitement across various fields and industries, and in academia. Financial institutions could harness the power of generative AI and financial neural networks to create new products and services that promote sustainable and impactful social and environmental development, as well as meet the growing ESG (environmental, social, and governance) pressures from regulators, stakeholders, clients and society at large.