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Open AccessJournal ArticleDOI

Implications of the use of artificial intelligence in public governance: A systematic literature review and a research agenda

TLDR
A systematic review of existing literature on the implications of the use of Artificial Intelligence (AI) in public governance and a research agenda are presented, which calls for research into managing the risks of AI use in the public sector, governance modes possible for AI Use in thePublic sector, performance and impact measurement ofAI use in government, and impact evaluation of scaling-up AI usage in thepublic sector.
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This article is published in Government Information Quarterly.The article was published on 2021-03-23 and is currently open access. It has received 110 citations till now. The article focuses on the topics: Public sector & Government.

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Journal ArticleDOI

An attention-based view of AI assimilation in public sector organizations: The case of Saudi Arabia

TL;DR: In this paper, the authors explored three Saudi-Arabian public sector organizations and analyzed the results using the attention-based view of the organization (ABV) as the theoretical lens.
Journal ArticleDOI

Artificial intelligence for the public sector: results of landscaping the use of AI in government across the European Union

TL;DR: In this article , the authors explore to which extent the use of AI in the public sector impacts these core governance functions and find that AI is used mainly to support improving public service delivery, followed by enhancing internal management and only in a limited number assist directly or indirectly policy decision making.
Journal ArticleDOI

Digital government transformation in turbulent times: Responses, challenges, and future direction

TL;DR: In this paper , the authors discuss the promises and challenges of digital government transformation (DGT) and the dilemmatic situation in which to use the technologies and the implications for managerial and institutional reforms to respond to the threats and uncertainty caused by disruptive digitalization in many countries.
Journal ArticleDOI

Implementing challenges of artificial intelligence: Evidence from public manufacturing sector of an emerging economy

TL;DR: In this article, the authors examined the existing challenges of AI implementation in PMS of India and explored the inter-relationships among them, and proposed a model for industrial decision-makers and managers to take appropriate decisions to develop intelligent AI enabled systems for manufacturing organizations in emerging economies.
Journal ArticleDOI

Harnessing the Potential of Artificial Intelligence to Foster Citizens’ Satisfaction: An empirical study on India

TL;DR: In this article , the authors employed IT assimilation theory and public value theory to develop a theoretical model that examines whether the introduction of AI-enabled services would generate public value for citizens in India.
References
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Book

Artificial Intelligence: A Modern Approach

TL;DR: In this article, the authors present a comprehensive introduction to the theory and practice of artificial intelligence for modern applications, including game playing, planning and acting, and reinforcement learning with neural networks.
Book

Research Methods for Business: A Skill Building Approach

Uma Sekaran, +1 more
TL;DR: Examples are drawn from different areas of business - such as human resources management, strategic management, operations management, finance, accounting, and information management - to provide students with a comprehensive overview of the applications of research methods.
Book

Distributed algorithms

Nancy Lynch
TL;DR: This book familiarizes readers with important problems, algorithms, and impossibility results in the area, and teaches readers how to reason carefully about distributed algorithms-to model them formally, devise precise specifications for their required behavior, prove their correctness, and evaluate their performance with realistic measures.
Proceedings ArticleDOI

Cyber Physical Systems: Design Challenges

TL;DR: It is concluded that it will not be sufficient to improve design processes, raise the level of abstraction, or verify designs that are built on today's abstractions to realize the full potential of cyber-Physical Systems.
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