Artificial Intelligence in Public Sector

International Journal of Innovations in Engineering Research and Technology [IJIERT] ISSN: 2394-3696 VOLUME 6, ISSUE 8, Aug-2019

6 Pages Posted: 17 Feb 2021

Date Written: August 7, 2019

Abstract

Artificial intelligence (AI) advancement has allured more attention from both practitioners and researchers. It has also aided in creating a number of opportunities that are beneficial for the integration of AI within the public sector. Therefore, regarding this emergence of AI, there comes the essence for a more comprehensive knowledge of the impact and range of applications based on AI and challenges which are coupled with it within the public sector. The application of AI and the associated challenges have always been considered only in fragmentarily and isolation. Therefore, this means that there lacks a thorough overview of applications which are focused on AI and various issues within the public sector. This paper will perform a conceptual approach that will aid in analyzing and compiling insights that are relevant from literature reviews to bring out an overview of AI technology and the challenges associated with it. The research will also examine the current use of AI in the U.S., future aspirations, and the challenges associated with AI technology. The reviews in this paper focus on specific areas in which AI is applied in the public sector. The paper will focus on application areas by describing the functioning and value created together with specifies public use of AI cases. Additionally, the paper investigates the significant dimensions of challenges associated with AI. Finally, the paper discusses the findings from literature reviews, implications for both practice and theory, and suggestions regarding future research on AI in the public sector.

Keywords: Public sector, Artificial Intelligence, Public administration, Impact, Framework

Suggested Citation

Surya, Lakshmisri, Artificial Intelligence in Public Sector (August 7, 2019). International Journal of Innovations in Engineering Research and Technology [IJIERT] ISSN: 2394-3696 VOLUME 6, ISSUE 8, Aug-2019, Available at SSRN: https://ssrn.com/abstract=3785663

Lakshmisri Surya (Contact Author)

Sr. Data Scientist ( email )

USA

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