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Outline

Title
Abstract
Key Takeaways
Figures
Introduction
Objectives of the Study
Research Methodology
Research Method
Integration of Quantitative and Qualitative Data
Results
Recommendations
Conclusion
References
All Topics
Computer Science
Artificial Intelligence

From Bureaucracy to Smartocracy: AI in Modern Governance

Profile image of Analiza MuñozAnaliza Muñoz
https://doi.org/10.13140/RG.2.2.19380.46726
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Abstract

The study explores the transformative potential of artificial intelligence (AI) in public administration. It examines how AI can shift traditional bureaucratic systems to a more dynamic and efficient "smartocracy." It also evaluates the efficiency and effectiveness of AI-driven processes, identifies ethical and legal challenges, assesses public perception and trust, ensures equitable access to AI-driven governance, prepares the officials and employees of the public sector for AI integration, and proposes a framework for the responsible use of AI in governance. The study employs a mixed-method research design, combining quantitative and qualitative approaches to provide a comprehensive understanding of AI's impact on public administration. Public administration has evolved significantly over the centuries, adapting to changing political, social, and technological landscapes. Initially characterized by the politics-administration dichotomy introduced by Woodrow Wilson, the field has undergone various phases, including the principles of administration era, the era of challenges, the crisis of identity, and the public policy perspective. Parallel to these developments, the field of AI has also evolved, from its conceptual foundation by Alan Turing to significant advancements in machine learning and deep learning. The integration of AI into public administration holds great promise for enhancing efficiency, transparency, and responsiveness in government services.

Key takeaways
sparkles

AI

  1. AI integration can transform traditional bureaucracies into efficient smartocracies, enhancing governance.
  2. The study evaluates AI's impact on public administration using mixed-methods, combining quantitative and qualitative data.
  3. Institutional and consultant pressures significantly influence perceived benefits of AI in governance (β = 0.48, p < 0.01).
  4. Ethical frameworks and public trust are crucial for successful AI implementation in public services.
  5. Recommendations emphasize strengthening regulatory frameworks and ensuring equitable access to AI technologies.
Figures (6)
Figure 1. Integration of Al technologies in Public Administration
Figure 1. Integration of Al technologies in Public Administration
In addition, the ARMS of Technology framework in the study of Munoz, A. (2022), as illustrated in Figure 2, includes Accessibility, Resources, Mindset, and Skills, aligns closely with the principles of Inclusive Al-Driven Public Services. This framework ensures that Al technologies are accessible and beneficial to all segments of the population, addressing issues related to the digital divide and promoting inclusivity and equity in government services and public administration.
In addition, the ARMS of Technology framework in the study of Munoz, A. (2022), as illustrated in Figure 2, includes Accessibility, Resources, Mindset, and Skills, aligns closely with the principles of Inclusive Al-Driven Public Services. This framework ensures that Al technologies are accessible and beneficial to all segments of the population, addressing issues related to the digital divide and promoting inclusivity and equity in government services and public administration.
Figure 3. Al-Enabled Innovation in the Public Sector: A Framework for Digital Governance and Resilience by Misuraca, G., Viscusi, G. (2020)
Figure 3. Al-Enabled Innovation in the Public Sector: A Framework for Digital Governance and Resilience by Misuraca, G., Viscusi, G. (2020)
Table 1. Comparison of Traditional Bureaucracy and Al-Driven Smartocracy
Table 1. Comparison of Traditional Bureaucracy and Al-Driven Smartocracy

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Fadi Salem

Government Information Quarterly, 2021

We present 1) a systematic review of existing literature on the implications of the use of Artificial Intelligence (AI) in public governance and 2) develop a research agenda. First, an assessment based on 26 articles on this topic reveals much exploratory, conceptual, qualitative, and practice-driven research in studies reflecting the increasing complexities of using AI in government-and the resulting implications, opportunities, and risks thereof for public governance. Second, based on both the literature review and the analysis of articles included in this special issue, we propose a research agenda comprising eight process-related recommendations and seven content-related recommendations. Process-wise, future research on the implications of the use of AI for public governance should move towards more public sector-focused, empirical, multidisciplinary, and explanatory research while focusing more on specific forms of AI rather than AI in general. Content-wise, our research agenda calls for the development of solid, multidisciplinary, theoretical foundations for the use of AI for public governance, as well as investigations of effective implementation, engagement, and communication plans for government strategies on AI use in the public sector. Finally, the research agenda calls for research into managing the risks of AI use in the public sector, governance modes possible for AI use in the public sector, performance and impact measurement of AI use in government, and impact evaluation of scaling-up AI usage in the public sector.

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Big Questions of Artificial Intelligence (AI) in Public Administration and Policy
Mehmet Metin Uzun

SİYASAL: Journal of Political Sciences, 2022

Technological advancements have created notable turning points throughout the history of humanity. Influential transformations in the administrative structures are the result of modern technological discoveries. The artificial intelligence (AI) ecosystems and algorithms now affect daily lives, communities, and government structures more than ever. Governments are the main coordinators of technological transition and supervisors of the activities of modern public administration systems. Hence, public administration and policies have crucial responsibilities in integrating, governing, and regulating AI technology. Integrating AI into public administration and the policy-making process allows numerous opportunities. However, AI technology also contains many threats and risks in economic, social, and even political structures in the long term. This article concentrates on the big questions of AI in the public administration and policy literature. The big questions discussion started in 1995 by Robert Behn drawing attention to the big questions as the primary driving force of a public administration research agenda. The fundamental motivation of the big questions approach is shaped by the fact that "questions are as important as answers." This article aims to identify big questions and discuss potential answers and solutions from an AI governance research agenda perspective.

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Artificial Intelligence in Government: Risks and Challenges of Algorithmic Governance in the Administrative State
José Vida Fernández

Indiana Journal of Global Legal Studies, 2023

This article analyzes the legal implications of using artificial intelligence in government and how it is challenging the foundations of the administrative state. It begins by demonstrating that a new model of government is emerging, based on information and intelligence (i-Gov). To understand the nature and scope of this new i-Gov model, this article will explain what artificial intelligence really is and analyze the applications that are currently being carried out in the US and the EU. Next, it will review the regulatory framework that is emerging that regulates government use of artificial intelligence in both the US and the EU. Finally, the article concludes by identifying and analyzing the main legal and policy problems involved in the use of artificial intelligence in government. It challenges values, principles, and institutions of the traditional administrative state and also requires us to think of new frameworks for constitutional and administrative law to guarantee citizens' rights and public interest.

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Impacts of Artificial Intelligence on Public Administration: A Systematic Literature Review
paula Espirito Santo

2019 14th Iberian Conference on Information Systems and Technologies (CISTI), 2019

The advent of machines power-driven by Artificial Intelligence (AI) have strongly influenced the world in the 21st century. The future of AI is promising and is offering a wide range of opportunities for scholars and academics. Although the theme has received a considerable attention over the last years, much has been speculated and little is known about its impacts on the Public Administration. Thus, the purpose of this article is to make the result of those impacts less ambiguous. To this end, we have conducted a systematic review to provide a comprehensive analysis on the latest impacts of AI on the Public Administration. Our intent is to narrow the field of study, while AI is being continuously strengthened with new empirical evidences.

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Related topics

  • Artificial Intelligence
  • Public Administration
  • IT Governance
  • Innovation & Change Management
  • Smart Technology
  • Public Policy
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