人工智能产业的高速发展催生了对高水平专业人才的需求,并对高校的人工智能学科布局优化和人才培养模式创新形成倒逼之势。本报告在厘清我国高校人工智能人才培养的发展脉络和政策背景基础上,对我国高校人工智能人才培养的现状和模式进行了深入分析,针对高校人工智能人才培养的目标定位、学科交叉融合、课程体系多元化、多主体育人机制等方面存在诸多不足的现实困境,提出坚持分类分层培养,全面适应人工智能发展对人才的多样化需求;优化人工智能学科布局,构建人工智能人才培养体系;促进教研融合,推动高校人工智能技术创新体系建设;建立健全多主体协同育人机制,促进产教科教深度融合等政策建议。
<<The rapid development of the AI industry has spawned the demand for high-level professional personnels,which has forced the optimization of AI discipline layout and the innovation of talent training mode in colleges and universities. Based on clarifying the development context and policy background of AI talent training in Chinese colleges and universities,this report makes an in-depth analysis of the current situation and training mode of AI talent training in colleges and universities. Because of the practical difficulties of many deficiencies including the training goal orientation,interdisciplinary integration,diversification of curriculum system,and multi-subject education mechanism of AI talents in colleges and universities,this report puts forward that we should adhere to classified and layered training,fully adapt to the diversified needs of the development of AI for talents;optimize the layout of AI disciplines,and build an AI talent training system;promote the integration of teaching and research,and promote the construction of artificial intelligence technology innovation system in colleges and universities;establish and improve the multi-agent collaborative education mechanism and promote the in-depth integration of industries and education.
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