AI for Climate Risk Assessment and Ethical Portfolio Management
Аннотация
Artificial intelligence (AI) is revolutionizing climate risk assessment and ethical portfolio management by enabling sophisticated analysis of environmental, social, and governance (ESG) factors. This chapter examines the convergence of AI technologies with climate finance, exploring machine learning applications in climate risk modeling, carbon emissions prediction, and sustainable investment strategies. We analyze how deep learning algorithms enhance ESG rating accuracy, natural language processing extracts climate-related disclosures, and predictive models assess transition risks. The chapter synthesizes recent empirical evidence on AI-driven portfolio optimization incorporating ethical constraints, climate stress testing methodologies, and the pricing of carbon risk in financial markets. Key findings demonstrate that AI significantly improves climate risk quantification while raising critical questions about algorithmic transparency, data bias, and ethical governance. The integration of neuroscience insights with environmental ethics provides novel frameworks for mindful finance, where AI serves as a tool for both financial performance and planetary stewardship. This comprehensive analysis offers academics, practitioners, and policymakers actionable insights for implementing responsible AI in climate-conscious investment decision-making.
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