摘要
算法赋能社会治理是构建现代化社会治理体系的重要趋势。从行动者网络理论出发,算法在赋能社会治理的过程中面临多重限度,该限度是由人类行动者和非人类行动者在开展转译及网络构建的过程中共同产生的。根据行动者网络理论,算法赋能社会治理的限度包括技术异步化对治理效益的价值之限、算法利维坦对多元主体的权力之限、技术理性与经验理性间的治理之限、自动化决策对治理产生的伦理之限。基于此,通过价值引领、以人为本、提高技术、强化监管的路径,打破治理限度,充分发挥算法在社会治理中的效能,以推进提升社会治理现代化水平,逐步实现以社会治理现代化助推国家治理体系和治理能力现代化。
Empowering social governance with algorithms represents a significant trend in building a modern social governance system.From the perspective of actor-network theory,however,algorithms face multiple constraints when applied to social governance.These constraints emerge jointly from human and non-human actors during the processes of translation and network construction.According to this theory,the limitations of algorithmic empowerment in social governance include:the value constraint arising from technological asynchrony on governance effectiveness;the power constraint imposed by the algorithmic Leviathan on diverse actors;the governance constraint between technological rationality and experiential rationality;and the ethical constraint introduced by automated decision-making.To address these,a pathway oriented toward value-driven leadership,people-centered approaches,technological advancement,and strengthened oversight can help overcome governance limitations and fully leverage the efficacy of algorithms in social governance.This will advance the modernization of social governance and,through its enhancement,progressively facilitate the modernization of the national governance system and governance capabilities.
作者
石路
王轩
Shi Lu;Wang Xuan(School of Political Science and Law,Xinjiang Normal University;School of Marxism,Xinjiang Normal University,Urumqi 830017,Xinjiang,China)
出处
《学术探索》
2026年第1期134-141,共8页
Academic Exploration
基金
国家社会科学基金青年项目(22CZX007)。
关键词
行动者网络理论
算法
社会治理
治理限度
actor-network theory
algorithms
social governance
limits of governance