Transparent Peer Review By Scholar9
AI-Driven Governance: A Double-Edged Sword in the Application of Traditional Public Administration Theories
Abstract
In this paper, I have primarily focused on the evolution of machinery within the realm of Public Administration. Undoubtedly, we are currently in the age of Artificial Intelligence (AI), with its presence and significance felt across all sectors. However, the roots of AI can be traced back to the foundational theories of Public Administration. Therefore, my research paper delves into the progression of AI and how it has established its role in governance and public administration. Furthermore, I explore its increasing relevance in upholding the ethical standards of administrative conduct. I have also examined various applications of both traditional and contemporary theories in enhancing public administration, governance, and accountability.
Shreyas Mahimkar Reviewer
17 Sep 2024 04:08 PM
Approved
Relevance and Originality
The Research Article is highly relevant as it explores the intersection of Artificial Intelligence (AI) and Public Administration, highlighting how AI has evolved and integrated into governance and administrative functions. The originality of the study lies in tracing AI’s roots back to foundational theories of Public Administration and examining its role in enhancing governance and ethical standards. This perspective offers a novel approach by connecting historical theories with modern technological advancements.
Methodology
The Research Article presents a conceptual exploration of AI’s evolution in Public Administration rather than a detailed empirical study. To improve the methodology section, it would be beneficial to outline the specific frameworks or theoretical models used to analyze AI’s impact on public administration. Including detailed case studies or examples of AI applications in administrative settings would provide practical insights into the study’s findings.
Validity & Reliability
The validity of the Research Article is supported by its comprehensive review of AI’s historical and contemporary applications in public administration. To enhance reliability, the paper should incorporate evidence from empirical studies or real-world examples demonstrating AI’s impact on governance and administrative practices. Providing data or case studies on how AI has influenced administrative processes and ethical standards would strengthen the study's credibility.
Clarity and Structure
The Research Article is generally clear in its discussion of AI’s evolution and its role in public administration. To improve clarity, the paper should have a well-defined structure with separate sections for the historical context of AI in public administration, its current applications, and its impact on governance and ethics. Each section should be organized to facilitate understanding and provide a logical flow of information.
Result Analysis
The Research Article discusses the impact of AI on governance and ethical standards but lacks specific data or quantitative analysis. For a more thorough result analysis, the paper should include case studies or examples showing the practical effects of AI on administrative efficiency, accountability, and ethical conduct. Quantitative metrics or comparative analyses of AI’s impact versus traditional methods would provide a more comprehensive evaluation of the findings.
IJ Publication Publisher
Done Sir
Shreyas Mahimkar Reviewer