国务院关于深入实施“人工智能+”行动的意见

Overall Requirements - The document outlines the implementation of the "Artificial Intelligence +" initiative, aiming to integrate AI across various sectors to reshape production and living paradigms, enhance productivity, and support modernization efforts in China [2][3]. Key Actions Artificial Intelligence in Science and Technology - Accelerate scientific discovery processes through AI-driven research paradigms and enhance the construction of scientific models [3][4]. - Innovate technology development models and improve efficiency by promoting AI-driven collaborative development in research and product realization [4]. - Transform research methods in philosophy and social sciences to adapt to the AI era, exploring the impact of AI on human cognition and ethics [4][5]. Industrial Development - Encourage enterprises to integrate AI into their strategic planning and operations, fostering new business models and smart industries [5][6]. - Promote comprehensive AI integration in industrial processes, enhancing skills and knowledge sharing across sectors [6]. - Advance agricultural digitization through AI applications in breeding and farming, improving production capabilities [6][7]. Consumer Quality Enhancement - Expand new service consumption scenarios by developing intelligent service industries and enhancing service quality across various sectors [7][8]. - Foster new product consumption models by promoting smart interconnected devices and exploring innovative product forms [7][8]. Welfare Improvement - Leverage AI to create smarter work environments and new job opportunities, while supporting skills training for the workforce [8][9]. - Integrate AI into education to enhance teaching methods and promote personalized learning experiences [9]. - Utilize AI in healthcare to improve service efficiency and quality, contributing to a better quality of life [9][10]. Governance Capacity - Enhance urban governance through smart infrastructure upgrades and AI applications in public services [10][11]. - Develop a multi-faceted public safety governance system utilizing AI for monitoring and emergency response [11]. - Improve ecological governance through AI-driven environmental monitoring and resource management [11][12]. Global Cooperation - Promote AI as an international public good, fostering equitable global participation in AI development [12][13]. - Support the establishment of a global governance framework for AI, addressing international challenges collaboratively [12][13]. Strengthening Support Capabilities Model and Data Innovation - Enhance foundational AI research and model capabilities, focusing on efficient training and application methods [13][14]. - Innovate data supply mechanisms to support high-quality AI datasets and encourage data sharing [14][15]. Talent Development - Advance AI education across all levels and enhance talent cultivation through interdisciplinary approaches [15][16]. - Establish diverse evaluation systems for AI talent to better align with industry needs [15][16]. Policy and Security - Strengthen regulatory frameworks and financial support for AI initiatives, ensuring sustainable development [16][17]. - Enhance security measures for AI applications to mitigate risks associated with AI technologies [17]. Implementation - Emphasize the importance of leadership in the "Artificial Intelligence +" initiative, ensuring effective coordination and local adaptation of policies [17][18].