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行政负担视角下数智化驱动社会救助对象精准识别研究

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进入数智化时代,数智技术在社会救助对象识别中的应用发展十分迅速且极具前景,同时也引发了社会救助治理体系的深层次变革,如何审视数智技术的价值及其张力,推动技术向善、技术促善,成为兼具理论与实践意义的现实课题。文章从行政负担理论出发构建分析框架,首先,概述社会救助对象识别数智化应用的主要实践模式;其次,阐释数智化驱动社会救助对象精准识别的作用机理,并分析其制约条件、限度及其风险,比较社会救助对象识别的两种政策执行过程;最后,从数智化治理体系和治理能力现代化,提升困难群体安全感和获得感的目标出发,分别从匡正社会救助数智化治理的价值目标、提升平台建设质量和应用水平、完善适应数智化时代的治理体系和职责体系、加强数智化应用的规制体系建设方面提出政策建议。
The Study on Accurate Identification of Social Assistance Targets Driven by Digital Intelligence from the Perspective of Administrative Burden
In the era of digital intelligence,the application of digital intelligence technology in the identification of social assistance targets has developed rapidly and promisingly,and it has also triggered a profound reform of the social assistance governance system.This paper constructs an analytical framework based on the theory of administrative burden.Firstly,the main practice modes of digital intelligence application of social assistance target identification are summarized;Secondly,the role mechanism of digital intelligence driving the accurate identification of social assistance targets is explained,and its constraints,limits and risks are analyzed,and the two policy implementation processes of social assistance target identification are compared;Finally,starting from the goal of modernizing the digital intelligent governance system and governance capacity,and improving the sense of security and gain of the Disadvantaged Groups,policy suggestions are put forward from the aspects of correcting the value goal of digital intelligent governance of social assistance,improving the quality and application level of platform construction,improving the governance system and responsibility system adapted to the era of digital intelligence,and strengthening the construction of regulatory system for digital intelligent application.

administrative burdendigital intelligencesocial assistanceaccurate identification

李鹏、张奇林

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武汉工程大学管理学院

武汉大学社会保障研究中心

行政负担 数智化 社会救助 精准识别

教育部人文社会科学重点研究基地重大项目武汉工程大学人文社科基金

22JJD630016R202102

2024

兰州学刊
兰州市社会科学院 兰州市社会科学界联合会

兰州学刊

CHSSCD
影响因子:0.401
ISSN:1005-3492
年,卷(期):2024.(1)
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