Artificial Intelligence in Public Security Administrative Law Enforcement and its Risk Regulation

The role of risk regulation in public security administrative law enforcement is very important, but there is a problem of large error in risk regulation. Comprehensive statistical methods cannot solve the problem of poor risk regulation effect in public security administrative law enforcement, and the actual avoidance rate is low. Therefore, this paper proposes a computer artificial intelligence method to analyze public security administrative law enforcement comprehensively. Firstly, the risk management theory is used to analyze the administrative law enforcement behavior comprehensively, and the risk regulation plan is adjusted according to the law enforcement content to reduce the irrelevant factors in the evaluation. Then, the risk analysis of administrative law enforcement behavior is carried out by computer artificial intelligence method, and the final evaluation set is formed. MATLAB simulation shows that the evaluation accuracy and evaluation time of computer artificial intelligence methods are better than those of comprehensive statistical methods under certain law enforcement content.