How and where is artificial intelligence in the public sector going? A literature review and research agenda
By Weslei Gomes de Sousa, E. Melo, Paulo Henrique de Souza Bermejo, Rafael Araújo Sousa Farias, Adalmir de Oliveira Gomes. Government Information Quarterly, 2019
381 citations recorded by the source corpus.
Abstract To obtain benefits in the provision of public services, managers of public organizations have considerably increased the adoption of artificial intelligence (AI) systems. However, research on AI is still scarce, and the advance of this technology in the public sector, as well as the applications and results of this strategy, need to be systematized. With this goal in mind, this paper examines research related to AI as applied to the public sector. A review of the literature covering articles available in five research databases was completed using the PRISMA protocol for literature reviews. The search process yielded 59 articles within the scope of the study out of a total of 1682 studies. Results show a growing trend of interest in AI in the public sector, with India and the US as the most active countries. General public service, economic affairs, and environmental protection are the functions of government with the most studies related to AI. The Artificial Neural Networks (ANN) technique is the most recurrent in the investigated studies and was pointed out as a technique that provides positive results in several areas of its application. A research framework for AI solutions for the public sector is presented, where it is demonstrated that policies and ethical implications of the use of AI permeate all layers of application of this technology and the solutions can generate value for functions of government. However, for this, a prior debate with society about the use of AI in the public sector is recommended.
Subfields: Media Technology, Radiological and Ultrasound Technology, Strategy and Management
View Paper: https://www.semanticscholar.org/paper/315970d49cb9d7fb35d4a9f8c2dc388e631ee679
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Citations in the corpus
- A Framework for Evaluating and Disclosing the ESG Related Impacts of AI with the SDGs (2021, background): “AI is already used in a wide array of political settings [2], as the benefits of automatic classification and prediction can make a wide range of political and bureaucratic decision-making processes more effective.”
- Implications of the use of artificial intelligence in public governance: A systematic literature review and a research agenda (2021, methodology): “…taken using incorrect and unfair data ( Kuziemski & Misuraca, 2020) Ethical questions related to avoiding discrimination in judicial decisions (Gomes de Sousa et al., 2019) Unethical use of data (Gupta, 2019) Unethical use of shared data (in the context of AI in healthcare) (Sun & Medaglia,…”
- AI adoption and diffusion in public administration: A systematic literature review and future research agenda (2022, neutral): “…& Luna-Reyes, 2022; Henman, 2019; Janssen, Brous, et al., 2020; Janssen et al., 2022; Makasi et al., 2021; Mulligan & Bamberger, 2019; Ojo et al., 2019; Sousa et al., 2019; Veale et al., 2018; Veale & Brass, 2019; Wirtz et al., 2018; Young et al., 2019; Zuiderwijk et al., 2021) Data governance”