全国人大代表刘怀平：更好平衡兼顾数据安全与流通

Core Viewpoint - Balancing data security and circulation is a dilemma faced in advancing "Artificial Intelligence+" initiatives, where even desensitized data raises concerns about ownership and subsequent risks [1] Group 1: Data Security and Circulation - Data security and utilization are not opposing forces but rather complementary, necessitating the establishment of a mechanism that reassures enterprises [1] - Clear operational guidelines for data classification and grading should be developed, particularly for critical sectors like industry and energy, to define core and important data and their protection requirements [1] Group 2: Technological Empowerment - Promotion of privacy computing and advanced algorithms is essential, allowing enterprises to collaborate without transferring raw data, thus enabling data value to flow while keeping original data within its domain [1] Group 3: Scenario-Driven Incentives - Initiatives like "data elements + industrial energy saving" should be launched in industrial parks and key sectors to create an "energy data value sharing pool" [1] - Projects that achieve significant energy efficiency improvements through data sharing should receive policy incentives such as green credit and carbon reduction trading, fostering a virtuous cycle of sharing and benefiting [1]