Issue Presentation: Challenges of data governance and artificial intelligence in the Ibero-American public sector
Abstract
The Ibero-American public sector faces new challenges in relation to data governance and the use of automated decision-making systems (ADS). On the one hand, States are increasingly collecting and generating a larger and more varied volume of data in the exercise of their functions. On the other hand, more national and subnational public entities in Ibero-America are adopting ADSs to carry out their functions. ADS include rule-based algorithms that fully or partially automate decision making, as well as artificial intelligence (AI) systems based on machine learning methods and techniques and natural language processing, among others. These challenges of data governance and AI in the Ibero-American public sector are addressed by the articles included in this special issue of Estudios Working Papers GIGAPP. This editorial introduces the six texts that address various topics: algorithmic impact assessments; AI promotion policies; adoption of ADS in the public sector; transparency and access to public information; and policies for the use of AI in academic contexts. The articles were written by academics of different nationalities and include case studies from Colombia, Ecuador, and Spain.
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