江西财经大学学报 ›› 2021, Vol. 0 ›› Issue (5): 23-36.

• 经济管理 • 上一篇    下一篇

人工智能的发展动力与风险生成:一个整合性逻辑框架

张乐1, 童星2   

  1. 1.山东大学 生活质量与公共政策研究中心,山东 威海 264209;
    2.南京大学 社会风险与公共危机管理研究中心, 江苏 南京 210023
  • 收稿日期:2021-06-06 修回日期:2021-06-29 出版日期:2021-09-25 发布日期:2021-09-29
  • 通讯作者: 张乐,山东大学(威海)法学院教授,博士生导师,主要从事社会风险与应急管理研究,联系方式zhangle7812@163.com。
  • 作者简介:童星,南京大学教授,兰州大学萃英学者讲席教授,博士生导师,主要从事社会风险与公共危机管理研究。
  • 基金资助:
    国家社会科学基金重点项目“人工智能发展中的社会风险及适应性治理研究”(20ASH009); 山东大学社会科学重大项目“防范化解数字化转型中的重大社会风险研究”(21RWZD18)

The Development Momentum and Risk Generation of Artificial Intelligence: An Integrated Logical Framework

ZHANG Le1, TONG Xing2   

  1. 1. Shandong University, Weihai 264209;
    2. Nanjing University, Nanjing 210023
  • Received:2021-06-06 Revised:2021-06-29 Online:2021-09-25 Published:2021-09-29

摘要: 发展与风险是事物演进的一体两面。出于对国家安全、国际竞争和国内经济增长及社会发展的强烈需要,政策系统通过压力传导和规划指导等方式为人工智能的发展确定方向并提供支持。资本积极响应政府决策,在市场竞争与自我增值机制的主导下整合生产要素,推动人工智能技术研发走向商用。人工智能技术在政策鼓励与资本扶持下,沿着“自我进化”的路径不断迭代成熟。在这一前后承接的动力链条中,反噬技术发展成果的力量也在潜滋暗长。经由“技术—资本—政策”反向循环路径,人工智能技术风险不断外溢和扩散。在技术自主性增强、资本扩张加剧和政策过度干预的联合作用下,技术内生性安全漏洞有可能演变为生产服务领域的技术误用、滥用和错用,进而导致政策既定目标的严重偏移,给国家安全、经济社会的健康发展带来更大的不确定性与挑战。在大力推进创新驱动发展的进程中,进一步释放人工智能发展潜力的同时做好重大科技风险的防范化解,成为需要长期坚持的治理策略与原则。

关键词: 人工智能, 智能社会, 数字化风险, 创新驱动

Abstract: Development and risks are two sides of the evolution of things. Out of the strong requirements of national security, international competition, domestic economic growth and social development, the policy system determines the direction of the development of AI and provides supports through pressure transmission, planning guidance and other means. Capital actively responds to government decisions, integrates production factors under the guidance of market competition and self-value-added mechanisms, and promotes artificial intelligence technology research and development to commercial use. With policy encouragement and capital support, artificial intelligence technology continues to iterate and mature along the path of“self-evolution”. In this power chain that connects the former and the later, the power that comes back to bite the achievements of technological development is also imperceptibly growing. Through the“technology-capital-policy”reverse cycle path, artificial intelligence technology risks continue to overflow and spread. Under the combined effect of increased technological autonomy, intensified capital expansion, and excessive policy intervention, endogenous technical security vulnerabilities may evolve into technical misuse, abuse, and misuse in the field of production services, leading to serious deviations from the established goals of the policy. These changes will bring greater uncertainty and challenges to the healthy development of national security, economy, and society. In the process of vigorously advancing innovation-driven development, when further releasing the potential of artificial intelligence, to prevent and resolve major scientific and technological risks has become a governance strategy and principle that need to be adhered to for a long time.

Key words: artificial intelligence, intelligent society, digital risks, driven by innovation

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