Publisher's Synopsis
This book explores the intersection of artificial intelligence and sustainable finance, offering a comprehensive analysis of AI's transformative impact on the global financial landscape. It demystifies the complex relationship between AI and sustainability, highlighting the unprecedented opportunities and challenges that arise when these forces converge. Through real-world case studies, cutting-edge research, and expert insights, the book elucidates how AI can drive environmentally conscious decision-making in finance. It discusses how machine learning algorithms, data analytics, and predictive modeling can help integrate environmental, social, and governance (ESG) considerations into investment strategies.
Going beyond theory, the book provides actionable guidance for financial professionals, policymakers, and technologists. It emphasizes the need for ethical and responsible AI applications and addresses potential pitfalls and safeguards against unintended consequences. This book serves as a pivotal resource for those interested in harnessing AI's potential in sustainable finance. It offers a roadmap for harmonious coexistence between AI and sustainable finance, contributing to a more resilient and equitable global economy. With its comprehensive analysis and interdisciplinary approach, the book is valuable for scholars, policymakers, practitioners, and general readers seeking to understand and navigate the complex issues surrounding AI and sustainable finance.
