智能时代产学研合作治理研究的逻辑、挑战及路径
|
摘要
作为支撑人类社会产业变革的通用性技术,人工智能正在推动包括产学研合作在内的社会治理体系和形态的创新和变革,这是借由支撑人类社会实现智慧治理的算法和数据这样两大技术基石而实现的。由于产学研合作领域当前存在治理结构僵化、治理方式低效、治理范围狭隘、治理机制碎片等问题,从而也对智能时代产学研合作治理提出了现实挑战。基于此,面向智能时代优化产学研合作治理的可选路径及政策框架,应着眼于智慧社会的内在特征,从推动治理模式变革、治理制度创新、治理机制重构、治理格局优化等方面入手,为推动产学研合作治理体系和治理能力现代化的建立和完善提供理论参考和实务借鉴。
As a universal technology to support all industrial changes,artificial intelligence is promoting innovation and transformation of social governance system and form including industry-university cooperation. From the technical logic point of view,artificial intelligence supports industry-university cooperation to realize intelligent governance through its algorithm and data. However,the current problems such as the rigid governance structure,inefficient governance mode,narrow governance scope,fragmentation of governance mechanism and other issues of China's industry-university cooperation,puts forward practical challenges to the governance of industry-university cooperation in the era of artificial intelligence. Based on this,focusing on the characteristics of the intelligent society,this paper puts forward the optional path and policy framework of optimizing the governance of industry-university cooperation in the artificial intelligence era around optimizing the governance mode,innovating the governance system,constructing the governance mechanism,and improving the governance pattern. The aim of this paper is to provide theoretical and practical reference for promoting the establishment and improvement of the governance system and governance capability modernization of China's industry-university cooperation in the artificial intelligence era.
As a universal technology to support all industrial changes,artificial intelligence is promoting innovation and transformation of social governance system and form including industry-university cooperation. From the technical logic point of view,artificial intelligence supports industry-university cooperation to realize intelligent governance through its algorithm and data. However,the current problems such as the rigid governance structure,inefficient governance mode,narrow governance scope,fragmentation of governance mechanism and other issues of China's industry-university cooperation,puts forward practical challenges to the governance of industry-university cooperation in the era of artificial intelligence. Based on this,focusing on the characteristics of the intelligent society,this paper puts forward the optional path and policy framework of optimizing the governance of industry-university cooperation in the artificial intelligence era around optimizing the governance mode,innovating the governance system,constructing the governance mechanism,and improving the governance pattern. The aim of this paper is to provide theoretical and practical reference for promoting the establishment and improvement of the governance system and governance capability modernization of China's industry-university cooperation in the artificial intelligence era.
引文
[1]张峰.物联化、互联化与智能化:打造政府治理的新模式——基于信息空间的分析视角[J].华侨大学学报(哲学社会科学版),2017(6):121-128.
[2]左崇良.高等教育治理的社会学分析——基于差序格局的视角[J].国家教育行政学院学报,2016(12):32-37.
[3]何哲.面向未来的公共管理体系:基于智能网络时代的探析[J].中国行政管理,2017(11):100-106.
[4]潘懋元,左崇良.高等教育治理的规约机制[J].吉首大学学报(社会科学版),2016(3):12-19.
[5]杨述明.新时代国家治理现代化的智能社会背景[J].江汉论坛,2018(3):11-23.
[6]陈伟光.关于人工智能治理问题的若干思考[J].学术前沿,2017(20):48-55.
[7]黄璜.人工智能之辨:计算本质、目标分类与议题划分[J].电子政务,2018(3):2-11.
[8]解轶鹏,李懿.智能时代的社会治理转型综述[J].国家治理,2017(37):25-32.
[9]吴军.智能时代:大数据与智能革命重新定义未来[M].北京:中信出版社,2016:1.
[10]钟义信.人工智能:概念·方法·机遇[J].科学通报,2017(22):2473-2479.
[11]王思懿,姚荣.中国高等教育治理中国家角色的演变趋势及其困局[J].高校教育管理,2018(2):45-54.
[12]郭斌,翟书颖,於志文,等.群智大数据:感知、优选与理解[J].大数据,2017(5):57-69.
[13]付玉辉.对新时代中国特色治理体系的思考[J].社会治理,2017(9):48-51.
[14]刘涛.互联网时代的社会治理——以社会系统理论为分析框架[J].社会学评论,2017(4):17-31.
[15]熊进.高等教育项目制治理的碎片化及其整体性治理[J].教育科学,2016(6):55-62.
[16]余承海,程晋宽.高等教育治理模式的国际比较与启示[J].国家教育行政学院学报,2015(9):84-88.
[17]胡税根,王汇宇.智慧政府治理的概念、性质与功能分析[J].厦门大学学报(哲学社会科学版),2017(3):99-106.
[18]卢守权,刘晶晶.整体性动态治理模式:内涵、方法与逻辑框架[J].中国行政管理,2017(3):51-54.
[19]郑永兰,徐亚清.网络治理的三重维度:技术、场景与话语[J].哈尔滨工业大学学报(社会科学版),2018(1):24-30.
[20]阿莱克斯·彭特兰.智慧社会:大数据与社会物理学[M].杭州:浙江人民出版社,2015:5.
[2]左崇良.高等教育治理的社会学分析——基于差序格局的视角[J].国家教育行政学院学报,2016(12):32-37.
[3]何哲.面向未来的公共管理体系:基于智能网络时代的探析[J].中国行政管理,2017(11):100-106.
[4]潘懋元,左崇良.高等教育治理的规约机制[J].吉首大学学报(社会科学版),2016(3):12-19.
[5]杨述明.新时代国家治理现代化的智能社会背景[J].江汉论坛,2018(3):11-23.
[6]陈伟光.关于人工智能治理问题的若干思考[J].学术前沿,2017(20):48-55.
[7]黄璜.人工智能之辨:计算本质、目标分类与议题划分[J].电子政务,2018(3):2-11.
[8]解轶鹏,李懿.智能时代的社会治理转型综述[J].国家治理,2017(37):25-32.
[9]吴军.智能时代:大数据与智能革命重新定义未来[M].北京:中信出版社,2016:1.
[10]钟义信.人工智能:概念·方法·机遇[J].科学通报,2017(22):2473-2479.
[11]王思懿,姚荣.中国高等教育治理中国家角色的演变趋势及其困局[J].高校教育管理,2018(2):45-54.
[12]郭斌,翟书颖,於志文,等.群智大数据:感知、优选与理解[J].大数据,2017(5):57-69.
[13]付玉辉.对新时代中国特色治理体系的思考[J].社会治理,2017(9):48-51.
[14]刘涛.互联网时代的社会治理——以社会系统理论为分析框架[J].社会学评论,2017(4):17-31.
[15]熊进.高等教育项目制治理的碎片化及其整体性治理[J].教育科学,2016(6):55-62.
[16]余承海,程晋宽.高等教育治理模式的国际比较与启示[J].国家教育行政学院学报,2015(9):84-88.
[17]胡税根,王汇宇.智慧政府治理的概念、性质与功能分析[J].厦门大学学报(哲学社会科学版),2017(3):99-106.
[18]卢守权,刘晶晶.整体性动态治理模式:内涵、方法与逻辑框架[J].中国行政管理,2017(3):51-54.
[19]郑永兰,徐亚清.网络治理的三重维度:技术、场景与话语[J].哈尔滨工业大学学报(社会科学版),2018(1):24-30.
[20]阿莱克斯·彭特兰.智慧社会:大数据与社会物理学[M].杭州:浙江人民出版社,2015:5.