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人工智能风险治理:模式、工具与策略

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人工智能技术在近二十年飞速迭代,由此产生的风险治理挑战呼唤治理模式与治理工具的创新.规制型治理、创新型治理、自治型治理、市场导向型治理、集中式治理、敏捷治理是目前较为成熟的风险治理模式,法律规制、伦理规范、数据算法、社会场景等领域的新兴风险催生更具体、更灵活的风险治理工具,以适应新涌现的风险治理需求.中国坚持人工智能技术创新与风险治理的协同改进和动态均衡,逐步向敏捷治理模式转变,各具体领域的风险治理工具呈现全面性、及时性、精准性的特征.中国应从治理理念更新、多元主体协同、强度刚柔并济、工具灵活有效、追求可信目标等方面提升风险应对能力,并将国家、政府、企业、公众纳入风险治理模式构建全过程,实现治理工具在各领域的多维组合性使用.
Artificial Intelligence Risk Governance:Models,Tools,and Strategies
Artificial intelligence technology has iterated rapidly in the past two decades.Risk governance challenges require innovation in governance models and tools.Regulatory governance,innovative governance,autonomous governance,market-oriented governance,centralized governance,and agile governance are the more mature risk governance modes at present,and emerging risks in the fields of legal regulation,ethical norms,data algorithms,and social scenarios have given rise to more specific and flexible risk governance tools to adapt to the newly emerging risk governance needs.China adheres to the synergistic improvement and dynamic equilibrium between technological innovation and risk governance,and gradually shifts to an agile governance model,with risk governance tools in each specific area reflecting comprehensiveness,timeliness,and precision.China's artificial intelligence risk governance should improve its risk response capability from the ideas of updating governance concepts,synergizing multiple subjects,combining rigidity and softness,flexibility and effectiveness of tools,and pursuing trustworthy goals.At the same time,the state,the government,enterprises and the public will be included in the whole process of constructing the risk governance model,so as to realize the multidimensional combined use of governance tools in various fields.

strong artificial intelligencerisk governancegovernance modelgovernance toolsagile governance

邓悦、许弘楷、王诗菲

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武汉大学质量发展战略研究院

深圳市巨湾时空大数据技术研究院

强人工智能 风险治理 治理模式 治理工具 敏捷治理

2024

改革
重庆社会科学院

改革

CSTPCDCSSCICHSSCD北大核心
影响因子:2.418
ISSN:1003-7543
年,卷(期):2024.(1)
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