Privacy Protection Dilemma and Improved Algorithm Construction Based on Deep Learning in the Era of Artificial Intelligence

Abstract

With the development of science and technology and the progress of social civilization, people have entered the era of big data. People’s personal information, privacy data, financial status, and financial information have become more and more transparent. Personal privacy has also changed from traditional physical privacy to portrait privacy and further changed to digital privacy based on artificial intelligence, big data, algorithms, and other technologies. At this stage, a new type of privacy problem has been formed, that is, deep learning privacy. In order to better protect the right to privacy, we should effectively block the protection dilemma of privacy and improve the construction of algorithms in the era of artificial intelligence, strengthen our own awareness of prevention, understand the current situation of infringing and protecting the right to privacy, fully protect the right to privacy, and promote the legal construction of the right to privacy in the era of artificial intelligence. However, China’s traditional privacy protection system cannot fully adapt to this change, and this highlights the lack of rules and hidden dangers of efficiency of privacy protection under the influence of penetrating monitoring, mandatory sharing, structural discrimination, and interactive assimilation of artificial intelligence. Therefore, based on the infringement mechanism of artificial intelligence on personal privacy, we should build a monitoring and identification function filing system, establish a segmentation and selective agreement rule system, build a comparative antidiscrimination rule system, innovate the “cloud blocking” rule system to protect our privacy, and comprehensively address the major challenges posed by new technologies such as artificial intelligence to China’s privacy protection system.