Systematic and axiological capacities in artificial intelligence applied in the public sector

IF 2.9 4区管理学 Q1 PUBLIC ADMINISTRATION

Public Policy and Administration Pub Date : 2023-04-18 DOI:10.1177/09520767231170321

Edgar A. Ruvalcaba-Gomez

{"title":"Systematic and axiological capacities in artificial intelligence applied in the public sector","authors":"Edgar A. Ruvalcaba-Gomez","doi":"10.1177/09520767231170321","DOIUrl":null,"url":null,"abstract":"Artificial Intelligence (AI) as a technological development is being implemented in the public sector with the intention of improving service delivery, as well as to help solve complex problems. However, there is a wide range of capabilities that AI can perform and that public officials perceive and implement in different ways. This paper aims to describe and analyze some categories into which AI capabilities in the public sector are divided. Using an Exploratory Factor Analysis (EFA), our results show that the capabilities of AI from the perspective of public officials can be classified into two aspects: systematic factors and axiological factors. Systematic factors are related to the analysis and behavior of data, including monitoring, analyzing, interacting, remembering, and anticipation. Axiological factors refer to the impacts of values, ethics, and decisions, including acting, feeling, moralizing, creating, and deciding capacities. This categorization of AI capabilities in the public sector sheds light on the perception of public officials about the implementation of this technological development.","PeriodicalId":47076,"journal":{"name":"Public Policy and Administration","volume":" ","pages":""},"PeriodicalIF":2.9000,"publicationDate":"2023-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Public Policy and Administration","FirstCategoryId":"91","ListUrlMain":"https://doi.org/10.1177/09520767231170321","RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PUBLIC ADMINISTRATION","Score":null,"Total":0}

引用次数: 0

Abstract

Artificial Intelligence (AI) as a technological development is being implemented in the public sector with the intention of improving service delivery, as well as to help solve complex problems. However, there is a wide range of capabilities that AI can perform and that public officials perceive and implement in different ways. This paper aims to describe and analyze some categories into which AI capabilities in the public sector are divided. Using an Exploratory Factor Analysis (EFA), our results show that the capabilities of AI from the perspective of public officials can be classified into two aspects: systematic factors and axiological factors. Systematic factors are related to the analysis and behavior of data, including monitoring, analyzing, interacting, remembering, and anticipation. Axiological factors refer to the impacts of values, ethics, and decisions, including acting, feeling, moralizing, creating, and deciding capacities. This categorization of AI capabilities in the public sector sheds light on the perception of public officials about the implementation of this technological development.

查看原文本刊更多论文

人工智能在公共部门应用的系统和价值论能力

人工智能作为一项技术发展正在公共部门实施，旨在改善服务提供，并帮助解决复杂问题。然而，人工智能可以发挥广泛的能力，公职人员可以以不同的方式感知和实施这些能力。本文旨在描述和分析公共部门人工智能能力的一些类别。利用探索性因素分析（EFA），我们的结果表明，从公职人员的角度来看，人工智能的能力可以分为两个方面：系统因素和价值论因素。系统因素与数据的分析和行为有关，包括监测、分析、互动、记忆和预期。价值因素是指价值观、伦理和决策的影响，包括行为、情感、道德化、创造和决策能力。这种对公共部门人工智能能力的分类揭示了公职人员对这一技术发展实施的看法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Public Policy and Administration PUBLIC ADMINISTRATION-

CiteScore

11.30

自引率

6.50%

发文量

审稿时长

12 weeks

期刊介绍： Public Policy and Administration is the journal of the UK Joint University Council (JUC) Public Administration Committee (PAC). The journal aims to publish original peer-reviewed material within the broad field of public policy and administration. This includes recent developments in research, scholarship and practice within public policy, public administration, government, public management, administrative theory, administrative history, and administrative politics. The journal seeks to foster a pluralistic approach to the study of public policy and administration. International in readership, Public Policy and Administration welcomes submissions for anywhere in the world, from both academic and practitioner communities.