生成式人工智能敏捷治理的国际趋势与建构模式

迟舜雨; 杜安琪

doi:10.11959/j.issn.2096-6652.202434

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生成式人工智能敏捷治理的国际趋势与建构模式

专栏：人工智能可信与治理 | 更新时间：2024-11-04

- 生成式人工智能敏捷治理的国际趋势与建构模式
- International trends and constructive models of agile governance for generative artificial intelligence
- 智能科学与技术学报 2024年6卷第3期页码：402-412
- 作者机构：
  
  1.中国政法大学法与经济学研究院，北京 100088
  2.中国信息通信研究院，北京 100191
- 作者简介：
  
  [ "迟舜雨（1989- ），男，博士，中国政法大学法与经济学研究院助理教授，主要研究方向为资本市场、平台经济和科技治理。" ]
  [ "杜安琪（1997- ），女，中国信息通信研究院助理工程师，主要研究方向为网络安全、数据安全、新技术新应用治理。" ]
- 基金信息：
  
  国家社会科学基金项目(22CFX055)
- DOI：10.11959/j.issn.2096-6652.202434
  中图分类号： TP18;D035;F49
- 收稿：2024-04-18，
  
  修回：2024-07-29，
  
  纸质出版：2024-09-15
- 稿件说明：
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迟舜雨,杜安琪.生成式人工智能敏捷治理的国际趋势与建构模式[J].智能科学与技术学报,2024,06(03):402-412.

CHI Shunyu,DU Anqi.International trends and constructive models of agile governance for generative artificial intelligence[J].Chinese Journal of Intelligent Science and Technology,2024,06(03):402-412.
迟舜雨,杜安琪.生成式人工智能敏捷治理的国际趋势与建构模式[J].智能科学与技术学报,2024,06(03):402-412. DOI： 10.11959/j.issn.2096-6652.202434.

CHI Shunyu,DU Anqi.International trends and constructive models of agile governance for generative artificial intelligence[J].Chinese Journal of Intelligent Science and Technology,2024,06(03):402-412. DOI： 10.11959/j.issn.2096-6652.202434.

摘要

敏捷治理作为一种新的治理范式，有助于提升生成式人工智能治理水平。通过分析生成式人工智能的治理需求与发展挑战，揭示了传统治理模式的不足，并认为以多元共治、灵活的治理依据和迭代过程为核心特征的敏捷治理能够有效平衡技术创新与风险控制的需求，可以弥补传统治理范式在生成式人工智能治理的局限。在审视了国际敏捷治理的实践后，提出了适用于中国的生成式人工智能敏捷治理策略建议。为保障中国生成式人工智能的高质量发展和高水平安全，应在多元参与的基础上进一步发展多元共治模式，加强硬法与软法之间的互动，并逐步丰富生成式人工智能的治理工具箱。

Abstract

Agile governance

as a new paradigm of governance

is conducive to enhancing the governance level of generative artificial intelligence. By analyzing the governance needs and development challenges of generative artificial intelligence

the inadequacies of traditional governance models were revealed. It was believed that agile governance

characterized by multi-stakeholder co-governance

flexible governance basis

and iterative processes

could effectively balance the needs of technological innovation and risk control

and compensate for the limitations of traditional governance paradigms in the governance of generative artificial intelligence. After examining the international practices of agile governance

suggestions for agile governance strategies suitable for generative artificial intelligence in China were proposed. To ensure the high-quality development and high-level safety of generative artificial intelligence in China

it is necessary to further develop a multi-stakeholder co-governance model on the basis of multi-participation

strengthen the interaction between hard law and soft law

and gradually enrich the governance toolkit of generative artificial intelligence.

关键词

Keywords

references

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