Skip to main content Internet Policy Review Open Access Concept Accessibility Publish Aims and scope Submissions Peer review How to publish with us Manuscript template Style guide Archives About Scope Editorial Board Editorial Team Managing Board Reviewers Why publish with us License Funding Contact RSS Login Search Categories Diversity Governance Infrastructure & Standards Information & Data Innovation Intellectual Property Rights Privacy & Security Volume 13, Issue 3 Balancing efficiency and public interest: The impact of AI automation on social benefit provision in Brazil Maria Alejandra Nicolás , Federal University of Latin American Integration , Foz do Iguaçu , Brazil Rafael Cardoso Sampaio , Federal University of Paraná , Curitiba , Brazil PUBLISHED ON: 30 Sep 2024 DOI: 10.14763/2024.3.1799 Abstract This article examines the implementation of artificial intelligence (AI) systems by Brazil's National Social Security Institute (INSS) to automate the granting of social benefits. Using audit reports from government agencies, it analyses the efficiency improvements brought about by AI, such as the speed with which benefits are granted, as well as the unintended consequences of this automation, such as the increase in the number of automatic denials and the creation of barriers for less digitally literate users, disproportionately affecting the most vulnerable populations. The research points to the need for transparency, public justification, adequate risk monitoring tools