德国人工智能政策文本量化研究(2017-2022年)

Quantitative Analysis on German Artificial Intelligence Policy Text (2017-2022)

摘要:

德国作为工业大国，在人工智能领域政策清晰，与中国有巨大合作潜力。为加强我国人工智能产业的发展，本文基于文本挖掘理论，采用政策工具和PMC政策评价模型，对德国联邦政府2017—2022年间发布的18份人工智能政策文件进行量化分析，深入研究了德国人工智能产业的未来发展趋势、政策工具结构，同时对政策效力进行了评价。得出结论：我国应加大对人工智能关键领域基础性研发的支持力度，加快人工智能人才培养体系建设，重视需求型和环境型政策工具，注重政策的作用层面和激励措施，以实现人工智能产业的可持续发展。

Abstract:

As a major industrial country, Germany has clear policies in the field of AI and huge potential for cooperation with China. To strengthen the development of China’s AI industry, based on text mining theory, this paper uses policy tools and the PMC policy evaluation model to quantitatively analyse the 18 AI policy documents issued by the German federal government between 2017 and 2022, and deeply investigates the future development trend of Germany’s AI industry, the structure of policy tools, and also evaluates policy effectiveness. It is concluded that China should strengthen its support for fundamental research and development in key areas of AI and accelerate the construction of an AI talent training system, pay attention to demand-based and environment-based policy tools, and focus on the role dimension and incentives of policies to achieve sustainable development of the AI industry.