智能时代产学研合作治理研究的逻辑、挑战及路径

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Abstract 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.

Key words： Intelligence era Industry-university cooperation governance Internal logic Path selection

Received: 04 May 2018

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F204

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	Huang Chengjie
	Nan Xuguang

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Huang Chengjie,Nan Xuguang. Internal Logic,Practical Challenges and Path Selection of the Industry-University Cooperation Governance in the Artificial Intelligence Era[J]. , 2019, 0(2): 29-35.

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http://www.zgkjlt.org.cn/EN/ OR http://www.zgkjlt.org.cn/EN/Y2019/V0/I2/29

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