Legal Risks and Prevention of the Sharing Economy Based on Artificial Intelligence

Abstract

Abstract To solve the conflicts between the transparency of capital and current restrictive regulations and regulations regarding consumers’ right to claim information and safety, this paper studies the legal risk and prevention path of the transparency of capital due to artificial intelligence. Firstly, the legal risk ways and means of the transparency of capital are constructed by the combined algorithm of SVR, BP, and RNN under the artificial intelligence algorithm, focusing on data tracking before and after the rectification of sharing enterprises with the combined algorithm of BP neural network and RNN to test whether the preventive measures are effectively implemented in place, and then the legal risk prevention path based on the government and enterprise levels is derived. The study concludes that shared travel legal disputes are rising between 2018 and 2022. Among the 10 types of violations sampled for investigation, age information was accessed in violation of the law the most, reaching 53,607,900, and the least in comparison, precise location information was accessed in violation of the law, 1,029,000. After warnings by government departments, the overall violations by enterprises after rectification were on a downward trend, with the incidence of violations controlled between 28.1% and 43.2%. The research on the legal risks of sharing economy in this paper has realistic value and reference significance to the legislation of transparency of capital.