Public Services and Artificial Intelligence: The Strategy to its Use in Order to Promote The Adequate Public Service In Brazil

Auteurs

  • Rafaella Brustolin

Résumé

The use of artificial intelligence has been increasingly discussed in the Public Administration’s framework, representing a trend towards the improvement of public policies and public services in the most diverse countries. In Brazil, the idea of ‘adequate public service’, known by the principles of regularity, effectiveness, security, generality, transparency, courtesy, beyond others, guides the provision of such services to the community. With this in mind, this study aims to identify the strategy necessary to the promotion of the adequate public service based on the use of artificially intelligent applications. Therefore, it is perceived that, by the association of normative principles (constitutional and legal), the set of instruments that provide results in the quality of the services offered and the practices developed within the Public Administration (based on transparency, data protection, delimitation of decisions, with the maximum understanding of the usefulness and purpose of the applications) are conditions that should modulate the development of a strategy for establish artificial intelligence in public services. Finally, some challenges are listed such as the delimitation of decisions to be incorporated into the algorithms, the use of rationality and legal security that protect the privacy of personal data when using automated procedures and the development based on algorithms with the participation of managers and public administrators, among others.

Biographie de l'auteur

Rafaella Brustolin

Parana’s Court of Justice Legal Advisor (Brazil)

Téléchargements

Publiée

2021-08-05

Comment citer

Brustolin, R. (2021). Public Services and Artificial Intelligence: The Strategy to its Use in Order to Promote The Adequate Public Service In Brazil. Revue Internationale De Droit Des données Et Du numérique, 7(1), 55–68. Consulté à l’adresse https://ojs3.imodev.org/?journal=RIDDN&page=article&op=view&path[]=403