在社会数字化转型中依法规范技术治理

Group 1 - The application of artificial intelligence and information technology in national and social governance is fundamentally changing traditional governance concepts and models, driving governance innovation and reshaping governance patterns [1] - The widespread use of technology in social governance has transitioned from tool-based support to systemic embedding, enhancing governance efficiency while raising concerns about information security, privacy leakage, and digital divides [1][2] - The ultimate goal of applying technology in public governance is to improve human life, necessitating a human-centered value philosophy throughout the entire chain from development to application [2] Group 2 - Focus areas such as healthcare, education, and employment are being optimized through technology to fill governance gaps and improve resource allocation and efficiency [3] - The establishment of a systematic evaluation framework for technology governance is emphasized, with recent guidelines and standards released to ensure responsible innovation and risk management in AI development [3][4] - A comprehensive legal framework is needed to address the increasing risks of algorithm discrimination, data monopolies, and privacy violations, requiring the construction of a governance system that includes prevention, correction, and compensation [4][5] Group 3 - The tendency to prioritize technical efficiency over actual governance effectiveness can lead to neglect of social value, highlighting the need for technology governance to align with societal value demands [7] - A dynamic mechanism for the co-evolution of technology and social norms is essential, ensuring that technological innovation drives normative iterations while societal changes influence technological direction [7] - The importance of enhancing the adaptability of legal and institutional frameworks to technological innovation is noted, alongside the need to cultivate a sense of technological ethics rooted in traditional cultural values [7]