用好“人工智能+”关键一招 赋能千行百业高质量发展

Core Insights - The article emphasizes the importance of seizing the high ground in the artificial intelligence (AI) industry as a crucial decision for urban competitiveness, highlighting Hangzhou's proactive approach in this domain [3][4]. Policy Support - Hangzhou is actively designing a new round of AI policy measures to create a better environment for enterprise innovation and development [4]. - The city aims to promote scenario innovation by connecting traditional industries with reliable solution providers, facilitating a platform for matching needs and products [4]. - There is a focus on supporting joint innovation around practical scenarios to develop new AI products that meet actual demands [4]. Visual Intelligence Development - Proposals suggest enhancing the spatial layout for visual intelligence innovation, particularly in key areas like Xiaoshan District and High-tech Zone (Bingjiang) [5]. - The initiative aims to leverage the "China Vision Valley" strategy to create a national visual intelligence innovation development zone [5]. Enterprise Innovation - The efficient use of computing power is identified as critical for the growth of the AI industry, with Hangzhou Mobile contributing significantly to the city's computing infrastructure [6]. - Recommendations include providing subsidies to local computing suppliers and expanding the use of computing vouchers across key industries [6]. AI Application and Training - There is a noted gap between AI product development and practical business applications, with suggestions for increased AI training and collaboration among enterprises [7]. - Establishing an AI technology open-source community is proposed to foster cooperation and resource sharing among companies [7]. AI Safety and Governance - The rapid advancement of AI technology brings safety risks, prompting calls for ensuring AI remains safe, reliable, and controllable [8]. - Hangzhou is positioned to become a leading hub for AI safety technology innovation, leveraging its strong innovation ecosystem [8]. Education and AI - The integration of generative AI in education is seen as a pathway to enhance teaching quality and promote educational equity, while also addressing potential risks such as over-reliance and algorithmic bias [9]. - Recommendations include developing risk assessment guidelines for AI applications in schools and enhancing the AI literacy of teachers and students [9].