Abstract
This study explores the evolution of global AI dynamics by discussing its role in government with a focus on aspects of development and governance of social and technological systems (STS). This document reports three research questions, including the extent of the analysis: (1) theories regarding the concept of AI in the public sector; (2) expectations regarding the development of AI in the public sector; and, (3) the challenges and opportunities of AI in the public sector. This experimental study provides an experimental framework for a comprehensive approach to measuring the magnitude of AI policy that allows for the methods of evaluating different governance practices and policy priorities in different countries. The study sheds light onto areas of policy that have the potential to implement AI programs and strategies; administrative functions open to the acceptance of AI applications and strategies; and the challenges / risks that community managers may face in defining AI policies and projects in the public sector including how to deal with cyber-troops.
Highlights
Big data systems powered by artificial intelligence (AI) technology are transforming governments and communities, challenging what were once considered values.Probably, the most common use of AI in government occurs in security, using face recognition
AI-based publications in the public sector are based on experience, cases, opinions, and results from the private sector [5]
From a public point of view, some argue that the massive use of social media, robots, big data, and more recently, AI in the public sector can be regarded as the fourth wave of information and communication technology (ICTs) from the public sector or the introduction of the fourth industrial revolution (Lindh et al, 2016)
Summary
Big data systems powered by AI technology are transforming governments and communities, challenging what were once considered values. From a public point of view, some argue that the massive use of social media, robots, big data, and more recently, AI in the public sector can be regarded as the fourth wave of information and communication technology (ICTs) from the public sector or the introduction of the fourth industrial revolution (Lindh et al, 2016) This new wave of technological dissemination in the public sector encompasses all aspects of operations (i.e., strategic management, human resource management, performance appraisal, institutional communication) and policy areas (i.e., health, education, boundary control, customer service, emergencies, taxes, social benefits)and based on open and large data volumes and the ability to process new organizations (Lindh et al, 2016). The final section concludes with a conclusion, developing ideas for the future development of this area of developing research and training content lead to user learning and understanding of how machines learn
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