Generative Artificial Intelligence (ChatGPT & Bard) in Public Administration Research: A Double-Edged Sword for Street-Level Bureaucracy Studies

IF 1.8 Q3 PUBLIC ADMINISTRATION
Mohammed Salah, Fadi Abdelfattah, Hussan Al Halbusi
{"title":"Generative Artificial Intelligence (ChatGPT & Bard) in Public Administration Research: A Double-Edged Sword for Street-Level Bureaucracy Studies","authors":"Mohammed Salah, Fadi Abdelfattah, Hussan Al Halbusi","doi":"10.1080/01900692.2023.2274801","DOIUrl":null,"url":null,"abstract":"ABSTRACTThis manuscript critically examines the adoption of generative AI tools, notably ChatGPT and Bard, within public administration research, especially in street-level bureaucracy. While these tools offer revolutionary insights into bureaucratic behaviors and decision-making, they pose significant ethical dilemmas, including potential biases and data privacy concerns. The paper offers comprehensive recommendations designed to help researchers navigate these challenges, emphasizing the need for robust data validation, enhanced transparency, and continuous adherence to evolving ethical standards. The overarching aim is to facilitate responsible AI integration, ensuring research methodologies’ efficacy and preserving ethical integrity in public administration inquiries.KEYWORDS: Generative AIChatGPTBardstreet-level bureaucracymethodological advancements Disclosure statementNo potential conflict of interest was reported by the author(s).","PeriodicalId":47833,"journal":{"name":"INTERNATIONAL JOURNAL OF PUBLIC ADMINISTRATION","volume":"54 7","pages":"0"},"PeriodicalIF":1.8000,"publicationDate":"2023-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"INTERNATIONAL JOURNAL OF PUBLIC ADMINISTRATION","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/01900692.2023.2274801","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"PUBLIC ADMINISTRATION","Score":null,"Total":0}
引用次数: 0

Abstract

ABSTRACTThis manuscript critically examines the adoption of generative AI tools, notably ChatGPT and Bard, within public administration research, especially in street-level bureaucracy. While these tools offer revolutionary insights into bureaucratic behaviors and decision-making, they pose significant ethical dilemmas, including potential biases and data privacy concerns. The paper offers comprehensive recommendations designed to help researchers navigate these challenges, emphasizing the need for robust data validation, enhanced transparency, and continuous adherence to evolving ethical standards. The overarching aim is to facilitate responsible AI integration, ensuring research methodologies’ efficacy and preserving ethical integrity in public administration inquiries.KEYWORDS: Generative AIChatGPTBardstreet-level bureaucracymethodological advancements Disclosure statementNo potential conflict of interest was reported by the author(s).
生成式人工智能(ChatGPT &;《公共行政研究:街头官僚主义研究的双刃剑》
摘要本文批判性地考察了在公共行政研究中,特别是在街头官僚机构中采用生成式人工智能工具,特别是ChatGPT和Bard。虽然这些工具为官僚行为和决策提供了革命性的见解,但它们也带来了重大的道德困境,包括潜在的偏见和数据隐私问题。本文提供了全面的建议,旨在帮助研究人员应对这些挑战,强调需要稳健的数据验证,增强透明度,并不断遵守不断发展的道德标准。总体目标是促进负责任的人工智能整合,确保研究方法的有效性,并在公共行政调查中保持道德诚信。关键词:生成AIChatGPTBardstreet-level bureaucracymethodological进步statementNo披露潜在的利益冲突是报告的作者(年代)。
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
CiteScore
4.70
自引率
5.60%
发文量
82
期刊介绍: IJPA is an international, research-driven, and peer-reviewed publication aimed at exploring the latest developments in public administration, public policy, and management – translating theory for practice and practice into theory. IJPA is a truly global journal in scope, covering developed, emerging and transitional states, nonprofit and nongovernmental organizations, and all areas of public activity. We welcome theoretical, analytical, quantitative, qualitative, empirical, and practitioner-based, as well as individual country-based, region-based, and especially comparative works. Our target audience is not just scholars, but also policy-makers and practitioners, including aspiring public sector leaders engaged in education and research in the growing global public service, policy, and administration, and governance community.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信