Affiliations: [a] Department of Political Science and International Relations, Universidad Autónoma de Madrid, Madrid, Spain | [b] Department of Administrative Law, Universidad de Murcia, Murcia, Spain
Correspondence:
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Corresponding author: J. Ignacio Criado, Department of Political Science and International Relations, Universidad Autónoma de Madrid, Building of Law, Politics and Economics, 1st floor, office 2, C/Marie Curie, 1, Ciudad Universitaria de Cantoblanco, Madrid, 28049, Spain. Tel.: +34 914972466; E-mail: [email protected].
Note: [1] Internal GVA document provided by interviewees.
Abstract: The governance of public sector organizations has been challenged by the growing adoption and use of Artificial Intelligence (AI) systems and algorithms. Algorithmic transparency, conceptualized here using the dimensions of accessibility and explainability, fosters the appraisal of algorithms’ footprint in decisions of public agencies, and should include impacts on civil servants’ work. However, although discretion will not disappear, AI innovations might have a negative impact on how public employees support their decisions. This article is intended to answer the following research questions: RQ1. To what extent algorithms affect discretionary power of civil servants to make decisions?RQ2. How algorithmic transparency can impact discretionary power of civil servants? To do so, we analyze SALER, a case based on a set of algorithms focused on the prevention of irregularities in the Valencian regional administration (GVA), Spain, using a qualitative methodology supported on semi-structured interviews and documentary analysis. Among the results of the study, our empirical work suggests the existence of a series of factors that might be linked to the positive impacts of algorithms on the work and discretionary power of civil servants. Also, we identify different pathways for achieving algorithmic transparency, such as the involvement of civil servants in active development, or auditing processes being recognized by law, among others.
