Mohammed Salah, Fadi Abdelfattah, Hussan Al Halbusi
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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).
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.