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AI-Driven Financial Risk Assessment and Management
Abstract
Artificial intelligence is rapidly reshaping how we understand and manage financial risk. This chapter explores the convergence of AI, neurofinance, and behavioral finance in building systems that can not only crunch numbers but also decode human irrationality. As machine learning algorithms evolve, they are increasingly capable of identifying subtle patterns in investor behavior, market sentiment, and cognitive biases—elements long considered elusive and subjective. Yet, this fusion raises urgent questions about trust, transparency, and ethical boundaries. This chapter offers a critical examination of how AI-driven models assess financial risks, the psychological frameworks they embed, and the implications for decision-making in increasingly volatile environments. In doing so, it charts a path forward—one that embraces complexity while demanding accountability.
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