Alignment Between Artificial Intelligence (AI) and Public Sector Organizations: A Systematic Review

Abstract

The emergence of Artificial Intelligence (AI) has resulted in significant transformations across private sector organisations, in particular, and public sector organisations in general. Therefore, academicians and researchers have been devoting their time to analysing the implementation of AI technologies in public sector organisations, as these technologies offer a wide range of opportunities. Nevertheless, the advancement of integrating AI into the public sector has been constrained by various factors, including data privacy and security concerns, as well as regulatory and ethical considerations. This paper thoroughly examines the possible implementation of AI in public sector organisations and its consequences for public organisations, particularly concerning government aspirations and the development of policies. The study rigorously evaluates existing material and conducts content analysis to attain a thorough comprehension. Given the ongoing distinction between digital transformation and AI, the findings indicate that additional scientific investigation is required in the public sector and government regulation domains. Although the partnership between the public and commercial sectors in the field of AI presents clear benefits, there is also empirical data indicating negative consequences. The paper aims to identify the best alignment strategies between AI and public sector organisations. Thus, it will enhance the research scope by incorporating additional empirical data for the effective implementation of AI in public sector organisations without posing threats to attaining the mission, vision, and major goals of the public sector organization.

 Key Words: Artificial Intelligence, Public Organisations, Alignment, Systematic Review