Research on Synergistic Protection of Readers'Personal Information in the Application of Generative Artificial Intelligence
The article analyzes the risks of improper collection,abuse,and leakage of readers'personal information in generative artificial intelligence applications.It argues for the necessity and feasibility of applying collaborative theory to the protection of readers'personal information,addressing issues such as diverse stakeholders,complex interests,and open system interaction.Furthermore,the article proposes collaborative protection paths for readers'personal information in generative artificial intelligence applications from five dimensions:goal collaboration,rule collaboration,cycle collaboration,scenario collaboration and open collaboration,including establish a common goal for the stakeholders involved in readers'personal information,regulate their behavior through community rules and regulations,and promote internal self-organization and orderly structure through specific measures that information lifecycle collaboration,hierarchical classification and competition,while actively responding to external development.
Generative artificial intelligenceReaders'personal informationPersonal information protectionSynergistic theoryLibrary
万方数据
维普
