人工智能治理的三个基本问题:技术逻辑、风险挑战与公共政策选择

发布时间：2018-05-25 22:15

  本文选题：人工智能 + 治理　； 参考：《中国行政管理》2017年10期

【摘要】：人工智能的兴起不仅是技术或产业领域的重大发展,更是经济、社会、政治各领域的基础性和综合性变革,由此产生的治理挑战要求公共政策框架的重构与创新,而这又体现为三个基本问题。首先在技术层面,人工智能的核心是算法与数据,其内在逻辑是基于机器学习形成自主决策。其次,传统科层治理结构、方法以及范围不能应对新的变化,从而构成了人工智能时代的治理挑战。各国现有政策所遵循的"无需批准式监管"或"审慎监管"逻辑固然有其合理性,但却局限于"创新"与"安全"的二维选择而失于片面。最后,本文提出综合性公共政策框架,力图为人工智能时代的崛起建立制度基石。
[Abstract]:The rise of artificial intelligence is not only a major development in the field of technology or industry, but also a fundamental and comprehensive change in economic, social and political fields. The resulting governance challenges require the reconstruction and innovation of the public policy framework. This, in turn, is reflected in three basic issues. Firstly, at the technical level, the core of artificial intelligence is algorithm and data, and its internal logic is based on machine learning to form independent decision. Secondly, the traditional governance structure, methods and scope can not cope with the new changes, thus constituting the governance challenges in the era of artificial intelligence. The logic of "no approval supervision" or "prudential supervision" followed by the existing policies of various countries is reasonable, but it is limited to the two-dimensional choice of "innovation" and "safety" and is not one-sided. Finally, this paper puts forward a comprehensive public policy framework, trying to establish the institutional foundation for the rise of artificial intelligence era.
【作者单位】： 电子科技大学政治与公共管理学院;清华大学公共管理学院;
【基金】：首都师范大学文化研究院重大研究项目“‘互联网+城市治理’:智慧城市2.0的理论”(编号:ICS-2016-A-03)
【分类号】：TP18
，

本文编号：1934838