Smart Natural Disaster Relief: Assisting Victims with Artificial Intelligence in Lending

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.

• 저널Information Systems Research · 35(2) · 489–504
• 토픽FinTech, Crowdfunding, Digital Finance · Management Information Systems
• DOI10.1287/isre.2023.1230
• 저자Yidi Liu, Xin Li, Zhiqiang Zheng