Abstract：Despite its rapid development in recent years, consumer finance is confronted with some problems such as high marketing and customer acquisition cost, difficulty in the acquisition of consumption scenarios, and poor risk management. With the in-depth development of artificial intelligence technology, AI technology displays obvious advantages in consumer finance, and is increasingly widely used in intelligent identification, marketing, risk control, customer service, collection and so on. However, the application of artificial intelligence in consumer finance has encountered many risks. Machine learning algorithms result in “black box” and “discrimination” in consumer finance applications. The inevitable “homogenization” of big data results in high data risk. Artificial intelligence may infringe on the privacy and rights of financial consumers. There is a serious shortage of professionals who are proficient in both artificial intelligence and consumer finance. Artificial intelligence presents great challenges to the law and supervision of consumer finance. In this case, in the development of AI-enabled consumer finance, we need to accord priority to researches on the basic disciplines of AI to prevent black box and discrimination at the source. We need to build a data sharing platform based on credit information system to cement the data base of artificial intelligence. We need to put more efforts into the protection of financial consumers' rights and interests, and guard against the technical risks of artificial intelligence applications. We need to attach importance to the comprehensive development of “governments, users, enterprises, universities, and research institutes”, and cultivate inter-disciplinary talents proficient in both artificial intelligence and consumer finance. We need to strengthen supervision over AI-enabled consumer finance, and simultaneously promote “AI governance” and “legal governance”.
2021, Vol. 38 
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