Corporate Governance Data Storage Tort Liability for Artificial Intelligence and Emotion Recognition

Abstract

The rapid development of information technology in the 21st century has realized the transformation of people’s production and lifestyle. At the same time, the current research on data infringement is increasing. At present, the legal field has gradually begun to apply informatization, using its advanced data exploration methods and collection technologies. This paper aimed to realize the research on tort liability of corporate governance data storage under the background of artificial intelligence and emotion recognition, so as to promote the ecological development of tort liability and the protection of rights and interests in the era of big data. The principles and laws of neural network technology in artificial intelligence were used for reference to promote the development of data infringement tracking technology. In the experiment of numerical information extraction under the neural network, the recognition rate of the system algorithm only exceeded 98% in time, and the highest recognition rate in location type was only 95.39%. Therefore, it showed that the method proposed in this paper achieved a certain recall rate, and the method was flexible and feasible. Due to the limited training sample size, the accuracy of subjects and attributes was relatively low. However, accuracy topics and attributes had relatively little impact on search results. The subsequent search module was based on a full-text search engine. Therefore, it is of great significance to use neural network technology to study the tort liability of data storage in the context of corporate governance.