{"title":"Automated decision-making in public administration: Changing the decision space between public officials and citizens","authors":"Aya Rizk , Ida Lindgren","doi":"10.1016/j.giq.2025.102061","DOIUrl":null,"url":null,"abstract":"<div><div>Implementing Automated Decision-Making (ADM) systems in public administrations raises several tensions: between efficiency and ensuring fair decisions, between public transparency and individual privacy, and between standardization and discretion. To develop legitimate ADM systems that balance these tensions, we need to better understand the phenomenon on the societal, organizational and individual levels. To this end, we conduct a multidisciplinary literature review with the analysis utilizing Coleman's macro-micro model of social action, in which individual attitudes and actions relevant to ADM are related to ADM social structures and outcomes. We develop an ADM framework that captures and conceptualizes these macro-micro relationships and use this framework to identify gaps in research and motivate a research agenda. Our results also reveal a changing decision space between public officials and citizens that, if well investigated, may facilitate the development of citizen-centric ADM solutions and effective human-machine hybrids. We illustrate how the framework and ADM decision space can contribute to research, practice and policy.</div></div>","PeriodicalId":48258,"journal":{"name":"Government Information Quarterly","volume":"42 3","pages":"Article 102061"},"PeriodicalIF":7.8000,"publicationDate":"2025-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Government Information Quarterly","FirstCategoryId":"91","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0740624X25000553","RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"INFORMATION SCIENCE & LIBRARY SCIENCE","Score":null,"Total":0}
引用次数: 0
Abstract
Implementing Automated Decision-Making (ADM) systems in public administrations raises several tensions: between efficiency and ensuring fair decisions, between public transparency and individual privacy, and between standardization and discretion. To develop legitimate ADM systems that balance these tensions, we need to better understand the phenomenon on the societal, organizational and individual levels. To this end, we conduct a multidisciplinary literature review with the analysis utilizing Coleman's macro-micro model of social action, in which individual attitudes and actions relevant to ADM are related to ADM social structures and outcomes. We develop an ADM framework that captures and conceptualizes these macro-micro relationships and use this framework to identify gaps in research and motivate a research agenda. Our results also reveal a changing decision space between public officials and citizens that, if well investigated, may facilitate the development of citizen-centric ADM solutions and effective human-machine hybrids. We illustrate how the framework and ADM decision space can contribute to research, practice and policy.
期刊介绍:
Government Information Quarterly (GIQ) delves into the convergence of policy, information technology, government, and the public. It explores the impact of policies on government information flows, the role of technology in innovative government services, and the dynamic between citizens and governing bodies in the digital age. GIQ serves as a premier journal, disseminating high-quality research and insights that bridge the realms of policy, information technology, government, and public engagement.