Citizen trust and application of AI in public administration: a systematic review analysis
DOI:
https://doi.org/10.5281/zenodo.14854656Keywords:
trust, ethics, regulation, algorithmic biases, transparencyAbstract
The introduction of artificial intelligence (AI) systems in the management of public records in Latin America faces critical ethical challenges that need to be urgently addressed. This issue gains importance due to the repercussions of AI on essential aspects such as privacy, transparency and equity in access to public information. Therefore, the purpose of this article is to analyze the ethical implications associated with the application of AI in this area, examining how these problems impact citizen trust and the effectiveness of public systems. To do so, a systematic review of the academic literature on the topic was carried out, applying the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) method. This approach allowed standardizing the phases of identification, selection and critical evaluation of the sources consulted. Based on the analysis of the results, it was evident that the main ethical concerns include: the lack of clear regulations, the presence of algorithmic biases and technological distrust. Factors limiting the acceptance of AI in public administration (PA). The main conclusion of this study underlines the need to establish solid regulatory frameworks and effective oversight mechanisms, ensuring that the use of AI is ethical and transparent. This would not only strengthen the legitimacy of these systems, but would also promote fairer and more accountable public management.
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