智能时代公共安全体系面临的技术挑战——兼序《中国科学院院刊》“人工智能与公共安全”专题

Challenges on public security system in AI era -Preface for special column "Artificial Intelligence and Public Security" in Bulletin of Chinese Academy of Sciences

        曹娟^1,2*(中国科学院计算技术研究所 北京 100190;中国科学院大学 计算机科学与技术学院 北京 100049)
        盛强¹(中国科学院计算技术研究所 北京 100190)
        李国杰¹(中国科学院计算技术研究所 北京 100190)

         人工智能生成内容;生成内容检测;公共安全;全流程治理

        artificial intelligence generated content (AIGC);generated content detection;public security;whole-process governance

        人工智能生成内容（AIGC）技术快速发展，引发新的公共安全隐患，严重威胁国家安全和社会稳定。文章梳理了AIGC技术和检测技术的发展现状，指出了检测技术在实战场景中面临的挑战，提出发展面向公共安全的AIGC检测技术，形成从模型端到平台端的全流程检测技术体系，实现“生成时可赋标、传播中可鉴别、案发后可溯源”。

        The rapid development of artificial intelligence generated content (AIGC) technology has triggered new public security risks, posing a serious threat to national security and social stability. This study exhibits the recent advances of artificial intelligence (AI) content generation and detection techniques, points out the challenges of detection techniques in real-world scenarios, and advocates that it is necessary to develop AIGC detection technology for public security needs and build a whole-process detection technology system from generative models to online platforms, which supports AIGC to be labeled at the generation phase, identifiable during dissemination and source-traceable after the incident occurs.