黄丁聪代表：推动数据要素流通，激发企业创新活力

Group 1 - The importance of data in the wave of artificial intelligence development is undeniable, but the data industry faces several challenges that need to be addressed, such as conflicts over data ownership, lack of revenue distribution mechanisms among participants in the data circulation chain, and unclear responsibilities regarding data security after development and utilization [1] - Huang Dingcong suggests establishing a comprehensive support system for data element circulation to stimulate innovation among various data and technology companies, including the introduction of normative guidelines for handling data ownership disputes and establishing a revenue distribution mechanism [1] - There is a need to explore a "due diligence exemption" mechanism to alleviate concerns regarding compliance in data circulation innovation, with hopes for Shanghai to lead in reform and innovation [1] Group 2 - AI and data element circulation are mutually reinforcing; AI models require vast amounts of data, while new AI applications will drive the collection of physical world behavior data, leading to new business models in the data industry [2] - Many companies still rely on traditional data application models focused on statistical analysis, and there is a significant distance to achieving AI-driven data application models [2] - The widespread adoption of AI is expected to accelerate the development of the data industry and facilitate the implementation of new business models [2] Group 3 - There is an expectation for Shanghai to accelerate the circulation of data elements to better promote the implementation of the "Artificial Intelligence +" national strategy [3]