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我国建立人工智能安全监管制度的必要性及现实路径
Establishing an Artificial Intelligence Security Regulator System in China: Necessity and Practical Paths
【摘要】 建立人工智能安全监管制度是应对人工智能安全风险的必然选择,是破除制度约束、释放经济增长新动能的先手棋,是推进国家治理体系和治理能力现代化的重要路径。建立人工智能安全监管制度要构建以治理取向、治理机制、治理架构、治理工具为核心的人工智能安全治理体系:治理取向方面,要以赋能人类社会发展为目标,实施“负责任”的监管;治理机制方面,要发挥行政治理的主导作用,充分利用市场治理和社群治理等多种治理模式;治理架构方面,要强化协同治理、构建人工智能监管合力;治理工具方面,要充分利用法律、政策、规范标准等强制性和指导性治理工具。未来,我国应明确监管范围、技术要求和底线原则,推动人工治理国际合作,构建“1+N”人工智能治理体系,加快推动人工智能安全监管制度建设。
【Abstract】 Establishing a regulatory system for artificial intelligence security is an inevitable choice to address AI security risks, an initial move to break institutional constraints and to unleash new drivers of economic growth, and an important path to promote the modernization of the national governance system and governance capacity.The establishment of an AI security regulator system requires the construction of an AI security governance system with governance orientation, governance mechanism, governance architecture, and governance tools as its core.In terms of governance orientation, the goal is supposed to empower human social development and implement “responsible” supervision.In terms of governance mechanisms, we should give full play to the leading role of administrative governance and make full use of various governance models such as market governance and community governance.In terms of governance architecture, we need to strengthen collaborative governance and build a joint force for artificial intelligence regulatory.In terms of governance tools, it is necessary to fully utilize mandatory and guiding governance tools such as laws, policies, and normative standards.In the future, China should accelerate the construction of an AI security regulatory system by clarifying its regulatory scope, technical requirements and priority rule, promoting international cooperation in artificial governance, and building a “1+N” governance system in artificial intelligence.
【Key words】 AI security regulator system; governance models; state competition;
- 【文献出处】 北京师范大学学报(社会科学版) ,Journal of Beijing Normal University(Social Sciences) , 编辑部邮箱 ,2025年01期
- 【分类号】TP18;F49
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