Multi-party Collaboration Mechanisms and Governance Models of AI-Enabled New Liberal Arts Internship Bases under the Perspective of Industry-Education Integration

Abstract

The deep integration of artificial intelligence technology is reshaping the practical forms of new liberal arts education, while the advancement of industry-education collaboration provides a systemic framework for transforming liberal arts talent cultivation from "soft skills"
to "intelligent literacy." From the perspective of industry-education collaboration, this paper systematically examines the constitutive elements
and operational logic of multi-party coordination mechanisms in AI-enabled new liberal arts internship base construction, further exploring
governance models that meet the demands of talent cultivation in the intelligent era. The study posits that the coordination mechanism of new
liberal arts internship bases is essentially a dynamic collaborative network built at the intersection of educational chains, talent chains, industrial chains, and innovation chains by universities, enterprises, governments, and industry organizations. Its effective operation relies on three
interdependent linkages: interest alignment, resource sharing, and institutional trust. Under the embedding of AI technology, this mechanism
exhibits new characteristics such as virtual-real symbiosis, intelligent matching, and dynamic evolution, while also facing structural tensions
like "disconnected integration, " divergent value orientations, and lagging evaluation systems. To establish a governance model centered on
"value co-creationmulti-party co-governanceecological symbiosis, " systematic breakthroughs must be achieved across four dimensions:
interest balance, institutional supply, technological ethics, and quality evaluation.