摘要
人工智能技术的不断突破加速了政府决策智能化进程,经验知识是否再无“用武之地”?本文围绕人工智能技术背景下政府决策模式的争论,探讨了算法决策、经验决策和人机协同决策三种路径的优势与局限,指出在决策情境日趋复杂,数据资源又不够充分的当下,人机协同决策更具适用性,提出了数据资源与决策情境复杂性下的决策模式适用矩阵。通过探讨人机协同的决策逻辑,分析了经验知识嵌入的内涵和方法,即利用社会科学测量方法将经验知识秩序化为数据后,再与无偏大数据建立映射关系,形成政府决策模型架构,以此链接经验理论与数据技术,从而确保代表公共价值的数据随着算法模型展开决策推演。
The continuous breakthroughs in artificial intelligence technology have accelerated the process of intelligent government decision-making.Is experience and knowledge no longer useful?Focusing on the debate on government decision-making models under the background of artificial intelligence technology,this paper discusses the advantages and limitations of the three paths of algorithmic decision-making,empirical decision-making and human-machine collaborative decision-making.It points out that at a time when decision-making scenarios are becoming increasingly complex and data resources are far from sufficient,human-machine collaborative decision-making is more applicable.An application matrix of decision-making models under the complexity of data resources and decision-making scenarios is proposed.By exploring the decision-making logic of human-computer collaboration,this paper analyzes the connotation and method of embedding empirical knowledge,that is,using social science measurement methods to order empirical knowledge into data,and then establishing a mapping relationship with unbiased big data to form a government decision-making model architecture.This links empirical theory and data technology to ensure that data representing the public value is deduced along with the algorithm model.
作者
沈倩
刘俊娜
杨菁
SHEN Qian;LIU Jun-na;YANG Jing
出处
《电子科技大学学报(社科版)》
2025年第4期90-101,共12页
Journal of University of Electronic Science and Technology of China(Social Sciences Edition)
基金
国家社会科学基金(22BZZ099).
关键词
公共决策
经验知识
公共价值
人机协同
public decision-making
experiential knowledge
public value
human-machine collaboration
作者简介
沈倩,电子科技大学讲师、公共管理学院博士研究生;刘俊娜,电子科技大学公共管理学院博士研究生;通信作者:杨菁,电子科技大学公共管理学院教授,博士生导师,E-mail:yangjing8056@uestc.edu.cn.
