贷款
背景(考古学)
自然灾害
青少年犯罪
业务
财务
精算学
过程(计算)
计算机科学
心理学
犯罪学
古生物学
物理
气象学
生物
操作系统
作者
Yidi Liu,Xin Li,Zhiqiang Zheng
标识
DOI:10.1287/isre.2023.1230
摘要
Natural disasters can have devastating economic and financial consequences for those affected. This research note explores the potential of artificial intelligence (AI) in disaster relief through lending services. By collaborating with a credit-scoring company, we investigate how AI-empowered lenders can effectively reduce delinquency rates for borrowers in the aftermath of disasters. Our findings reveal that borrowers applying to lenders that utilize AI in their loan assessment process experience improved outcomes in terms of delinquency reduction, particularly for borrowers with lower credit scores. This research underscores the positive impact of AI in the lending context, benefiting both lenders and borrowers. Furthermore, we highlight that AI indirectly supports disaster relief efforts through financing, providing a compelling use case for AI fairness in lending. Our findings have significant implications for leveraging AI as a valuable tool in mitigating the financial impact of disasters and promoting fairness in lending practices.
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