基于公共性算法制度建构的新质生产力治理——以新一代生成式人工智能参与数字政府建设为例

New Quality Productive Forces Governance Based on Public Algorithm System Construction:A Case Study of the Engagement of Next-Generation Generative Artificial Intelligence in Digital Government Construction

在数字化社会转型与国家治理能力现代化的要求下,算法作为新质生产力的代表之一,通过其公共性应用实现积极效能,但也要通过特定的制度构建来避免其带来的风险。公共性算法制度建构或许存在抽象与脱离实际之嫌,因此在新一代生成式人工智能参与数字政府建设的语境下,需要进行更加坚实的论证。首先,公共性算法能够为公共治理提供有效助力,促成政府决策的错误减少与客观增强、政府运作的体量精减与成本降低、政府监管的模式创新与多元协同、政府治理的公益追求与理性实现等效能跃迁。其次,公共性算法的运作具有三个阶段的技术联结路径,语言训练阶段是算法应用的初始环节、人机交流能够实现算法代表公共权力的多向互动、价值嵌入能够促进技术内化道德理性最终实现善治。最后,在上述三个阶段的公共性算法应用中存在特定的风险,需要构建公共性算法制度以进行调适,在语言训练中需要限制数据的可利用性、在人机交流中需要规制算法与权力、在价值嵌入中需要保障算法的道德性。

and detached.In the context of the participation of a new generation of generative artificial intelligence in the construction of digital government,more solid arguments should be made.Firstly,public algorithms can provide effective assistance for public governance,specifically resulting in such performance transitions as reducing errors and enhancing objectivity in government decision-making,streamlining and reducing the cost of government operations,innovating and collaborating in government supervision modes,pursuing public welfare and realizing rationality in government governance.Secondly,the operation of public algorithms has three stages of technological connection paths.The language training stage is the initial link of algorithm application based on data.Human-computer communication can achieve multi-directional interaction between algorithms representing public power.Value embedding can promote the internalization of technology and moral rationality,ultimately achieving good governance.Finally,there are specific risks in the application of public algorithms in the above three stages,which require the construction of public algorithm systems for adjustment.In language training,it is necessary to limit the availability of data,in human-computer communication,it is necessary to regulate algorithms and power,while in value embedding,it is necessary to ensure the morality of algorithms.