On the Application of Artificial Intelligence in Local Legislation

The expansion of local legislative authority has prompted the introduction of various local regulations, which have promoted local governance in various places. However, the formulation of local legislation suffers from problems such as singularity and fragmentation, and its informatization has not kept pace with the development of artificial intelligence. In order to study the application of artificial intelligence in local legislation, this paper applies artificial intelligence to the intelligent screening of legislative solicitations and the intelligent review of draft regulations through the study of generative adversarial networks and their optimization models. Facing legislative opinions with large amounts of data and complex text, the text recognition rate of AI reaches 98.24%, the success rate of similar opinion de-duplication is 84.69%, and the success rate of classifying opinions applying to different fields and different legal articles is 79.09%. Artificial intelligence can also filter out 71.13% of invalid opinions. In reviewing draft regulations, the success rate of artificial intelligence in judging whether it conflicts with the higher law is 83.01%, and the success rate of judging whether it conflicts with the same law is 80.64%. Artificial intelligence has a natural advantage in assisting local legislators to deal with a large amount of repetitive paperwork, which can effectively improve the efficiency of local legislation. Using artificial intelligence to assist local legislation can help local legislation make great progress and development to maintain local stability better and promote local development. © 2023 Ke Wang, published by Sciendo.