rtificial Intelligence in Risk Management: Applications and Ethical Considerations"
He yaping

Shanghai Opera House Shanghai 200000

Abstract：This article explores in depth the application, challenges, and countermeasures of artificial intelligence (AI) in risk management. Firstly, the advantages of AI in improving risk management efficiency and accuracy were analyzed, followed by revealing core issues such as algorithmic bias, insufficient transparency, complex responsibility attribution, and ethical conflicts. Propose optimization measures and suggestions to strengthen data protection and security measures, enhance algorithm fairness and transparency, improve responsibility frameworks and regulatory mechanisms, and enhance ethical education and industry self-discipline in response to these issues.

Keywords: Artificial Intelligence (AI); Risk management; Algorithmic bias; transparency

reference 

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About the author: He Yaping (1992.5.18) Female Han Native place: Lishui, Zhejiang Education: Master, professional title: intermediate