Artificial Intelligence Risks and Challenges in the Spanish Public Administration: An Exploratory Analysis through Expert Judgements
Itziar Sobrino-García
Additional contact information
Itziar Sobrino-García: Department of Public Law, Facultad de Ciencias Jurídicas y del Trabajo, Campus Lagoas-Marcosende, University of Vigo, 36310 Vigo, Spain
Administrative Sciences, 2021, vol. 11, issue 3, 1-22
Abstract:
The expanding use of artificial intelligence (AI) in public administration is generating numerous opportunities for governments. Current Spanish regulations have established electronic administration and support the expansion and implementation of this new technology, but they may not be adapted to the legal needs caused by AI. Consequently, this research aims to identify the risks associated with AI uses in Spanish public administration and if the legal mechanisms can solve them. We answer these questions by employing a qualitative research approach, conducting semi-structured interviews with several experts in the matter. Despite the benefits that this technology may involve, throughout this research we can confirm that the use of artificial intelligence can generate several problems such as opacity, legal uncertainty, biases, or breaches of personal data protection. The mechanisms already provided by Spanish law are not enough to avoid these risks as they have not been designed to face the use of artificial intelligence in public administration. In addition, a homogeneous legal definition of AI needs to be established.
Keywords: artificial intelligence; public sector; digital transformation; Spain; public administration (search for similar items in EconPapers)
JEL-codes: L M M0 M1 M10 M11 M12 M14 M15 M16 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://www.mdpi.com/2076-3387/11/3/102/pdf (application/pdf)
https://www.mdpi.com/2076-3387/11/3/102/ (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:gam:jadmsc:v:11:y:2021:i:3:p:102-:d:636462
Access Statistics for this article
Administrative Sciences is currently edited by Ms. Nancy Ma
More articles in Administrative Sciences from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().