Security risk assessment framework for Artificial Intelligence Generated Content (AIGC)
人工智能生成内容（AIGC）的安全风险评估框架

摘要

随着人工智能生成内容（AIGC）的迅猛发展，相关的安全风险逐渐引发广泛关注。AIGC不仅带来了技术创新，同时也带来了数据泄露、恶意内容生成、版权侵犯等一系列潜在的安全隐患。制定科学合理的安全风险评估框架显得尤为重要。本文提出了一种基于多维度评估模型的AIGC安全风险评估框架，涵盖技术、法律、伦理等方面的风险识别与应对策略，旨在为政策制定者、技术开发者提供系统性指导，从而有效保障AIGC技术的安全应用与健康发展。

Abstract

With the rapid advancement of Artificial Intelligence Generated Content (AIGC), related security risks have increasingly drawn widespread attention. While AIGC drives technological innovation, it also introduces potential vulnerabilities such as data breaches, malicious content generation, and copyright infringements. Establishing a scientifically sound security risk assessment framework has become crucial. This paper proposes an AIGC security risk evaluation framework based on a multi-dimensional assessment model, covering risk identification and response strategies across technical, legal, and ethical dimensions. The framework aims to provide systematic guidance for policymakers and developers, thereby ensuring the secure application and healthy development of AIGC technology.