全国首个人工智能与知识产权双向赋能行动方案发布

Core Viewpoint - The Jiangsu Province Intellectual Property Bureau has officially released the "Jiangsu Province Artificial Intelligence and Intellectual Property Dual Empowerment Action Plan (2026-2030)", marking it as the first national plan focusing on the dual empowerment of artificial intelligence and intellectual property. The plan aims to enhance innovation protection in the AI industry and improve intellectual property service efficiency through 23 specific measures across seven areas, fostering a synergistic effect of "1+1>2" between AI and intellectual property [1][15]. Group 1: Empowering AI Industry Development through Intellectual Property - Strengthening the guarantee of industrial development factors by exploring data intellectual property protection rules and formulating compliance guidelines for new fields and business models [3][17]. - Accelerating the layout of key technology patents in the industry, with a target of increasing effective invention patents in the AI field by no less than 20% [3][18]. - Promoting the transformation of industrial innovation achievements by matching technology supply and demand efficiently and supporting the establishment of intellectual property alliances [4][20]. Group 2: AI Empowering Intellectual Property Creation - Utilizing AI semantic analysis and knowledge graphs to create industry technology maps, helping to identify development trends and optimize intellectual property layout [6][25]. - Implementing intelligent assistance in patent applications to enhance the quality of applications by identifying defects and assessing the reasonableness of protection scope [7][26]. - Establishing a comprehensive management system for the entire lifecycle of intellectual property to improve management precision and efficiency [8][28]. Group 3: AI Empowering Intellectual Property Utilization - Achieving precise matching of technology supply and demand through AI technologies, facilitating the transfer and transformation of patent technology achievements [8][57]. - Developing a multi-dimensional patent value evaluation model to assess the economic value of patents based on various factors [8][31]. - Creating an enterprise innovation capability evaluation model that integrates diverse data to assess R&D capabilities [8][34]. Group 4: AI Empowering Intellectual Property Protection - Constructing an intelligent model for analyzing intellectual property infringement to enhance the efficiency and quality of case handling [9][86]. - Establishing a monitoring system for online infringement behaviors to ensure rapid detection and response [9][89]. - Building a comprehensive overseas intellectual property service platform to proactively manage risks associated with overseas operations [9][40]. Group 5: AI Empowering Intellectual Property Services - Providing comprehensive public services through AI technologies to streamline intellectual property policy consultations and administrative processes [10][90]. - Developing an intelligent legal service platform to enhance accessibility to intellectual property legal services [10][91]. - Creating a tailored training system for intellectual property professionals to meet industry needs and foster talent development [10][92]. Group 6: AI Empowering Intellectual Property Governance - Establishing a decision support system for government management, integrating various data sources to support macro decision-making [12][93]. - Implementing intelligent analysis models for evaluating major economic and technological activities to provide decision-making references [12][94]. Group 7: Building a Collaborative Ecosystem for AI and Intellectual Property - Creating a trusted data space for intellectual property by integrating global data and ensuring data security [13][95]. - Developing a project database for AI applications in intellectual property, supporting the creation of leading models and tools [13][96]. - Strengthening service and talent support by expanding patent pre-examination fields and cultivating specialized service teams [13][98].