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, including conflicts over data ownership, lack of revenue distribution mechanisms among participants, and unclear responsibilities regarding data security after utilization [1] - Huang Dingcong suggests establishing a comprehensive data element circulation support system to stimulate innovation among data and technology companies, and recommends creating normative guidelines for handling data ownership disputes [1] - There is a need to explore incentive mechanisms to encourage medium and large enterprises to promote external development and utilization of their data, as there may be societal pressure against selling data [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 enterprises currently 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 expectation is for Shanghai to accelerate the circulation of data elements to better support the implementation of the "Artificial Intelligence +" national strategy [3]