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the book aims to critically examine the role of artificial intelligence in global trade risk assessment focusing on geopolitical supply chain and financial risk dynamic between 2008 and 2024 this book also sought to bridge the gap between traditional risk assessment methodologies and in al driven models highlighting their strengths limitations and implications for global commerce .the book explors case studies such as the US chihna trade war prexil the covid 19 pandemic and financial crises to evaluate al s prodictive accuracy and operational efficiency the book concluded that while al enhances risk detectection and response capabilities
The book results demonstrate that a hybrid approach integrating al with human expertise regulatory oversight
the book aims to critically examine the role of artificial intelligence in global trade risk assessment focusing on geopolitical supply chain and financial risk dynamic between 2008 and 2024 this book also sought to bridge the gap between traditional risk assessment methodologies and in al driven models highlighting their strengths limitations and implications for global commerce .the book explors case studies such as the US chihna trade war prexil the covid 19 pandemic and financial crises to evaluate al s prodictive accuracy and operational efficiency the book concluded that while al enhances risk detectection and response capabilities
The book results demonstrate that a hybrid approach integrating al with human expertise regulatory oversight
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