Information and Communications Technology and Policy

Information and Communications Technology and Policy

Information and Communications Technology and Policy ›› 2024, Vol. 50 ›› Issue (1): 13-18.doi: 10.12267/j.issn.2096-5931.2024.01.003

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The challenges and response strategies of generative artificial intelligence for personal information security

WU Linna1,2, SONG Kai1,2, WANG Songhe1,2   

  1. 1. CTTL Terminal Labs, China Academy of Information and Communications Technology, Beijing 100191, China
    2. Key Laboratory of Mobile Application Innovation and Governance Technology, Beijing 100191, China
  • Received:2023-12-12 Online:2024-01-25 Published:2024-02-01

Abstract:

Based on the strong universality, interaction, and generation capabilities of generative artificial intelligence (AI), combined with the current industrial situation, this paper summarizes the characteristics of user oriented generative AI services, including diverse service forms, innovative interaction methods, and complex service modes. It also sorts out the comprehensive impact of the application of generative AI technology on individual information security and the challenges brought by the model itself. On this basis, this article proposes specific suggestions and plans to enhance personal information security from the perspectives of regulatory governance, standard specifications, and enterprise management.

Key words: generative artificial intelligence, artificial intelligence, personal information security, large model

CLC Number: