The Analysis of Dynamic Realization Interest Balance of Intellectual Property

Abstract

Intellectual property, as the right to protect the labor achievements created by human beings in social practice, is of great significance in today's rapid develop+ment of science and technology. Therefore, the intellectual property law was born, and gradually developed and improved according to the actual needs. In the digital age, data elements have become the core kinetic energy to drive the innovation and development of social economy. The scientific community has changed from traditional mode to digital mode, and the structure of knowledge growth has changed from mathematical rationality to information rationality. These digital changes of knowledge innovation inevitably bring subversive influence to intellectual property law. Therefore, the revision of intellectual property law has become an inevitable trend. It is a benign strategy to improve China's intellectual property law by drawing on the legislative experience of relevant intellectual property laws of developed countries in AI industry to address AI challenges. In order to analyze the convergence, accuracy and efficiency of the localization algorithm, this paper designs an experiment of hybrid localization of complex surfaces and planes, and verifies the reliability and practicability of the computer aided localization system through many experiments. The principle of interest balance in intellectual property law is analyzed and explored.