Research on Information Security Issues in the Field of Artificial Intelligence

Key Points

Adversarial attacks and privacy leakage significantly threaten information security in artificial intelligence.
The study analyzes data from the 2025 Global AI Security Report to support its findings.
Using the SWOT framework, researchers propose a localized governance strategy focusing on technical and legal aspects.
The findings suggest a multi-dimensional approach to AI governance is essential for security across various sectors.

Abstract

With the rapid development of artificial intelligence technology, the information security problems it brings have become increasingly prominent, such as data poisoning, adversarial attacks, and privacy leakage. This paper aims to study these core challenges, explore the significance of balancing technological innovation and risks, and ensuring the security of countries, societies, and individuals. Drawing on literature review, case analysis, and the SWOT framework, and integrating data from the 2025 Global AI Security Report, this study proposes a localized multi-dimensional governance framework tailored to China. Covering technical, legal, ethical, social, and international cooperation dimensions, the framework provides a reference for AI information security governance.

Research on Information Security Issues in the Field of Artificial Intelligence

Key Points

Abstract

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