Vulnerabilidades en la protección de datos personales de menores ante sistemas de inteligencia artificial: Revisión sistemática
Date
Journal Title
Journal ISSN
Volume Title
Publisher
Tribunal
Abstract
El avance acelerado de la inteligencia artificial (IA) ha transformado profundamente el ecosistema digital, generando nuevas oportunidades y riesgos en el tratamiento de datos personales. El objetivo del estudio es analizar las vulnerabilidades en la protección de datos personales de menores ante sistemas de inteligencia artificial. El enfoque es cualitativo, descriptivo, b una bajo una revisión sistemática siguiendo directrices PRISMA en el periodo 2020-2025. Las bases de datos consultadas Web of Science, Scopus, PubMed, IEEE Xplore y repositorios especializados. Se identificaron 1,247 estudios iniciales, de los cuales 18 fueron incluidos en la revisión. Los hallazgos revelan prácticas sistemáticas de recopilación inadvertida de datos (89 %) y perfilamiento algorítmico no consentido (78 %), así como exposición a contenidos inapropiados y ciberacoso automatizado. Se concluye que la protección de menores requiere un enfoque integral que implemente principios de privacidad desde el diseño, marcos regulatorios especializados, alfabetización digital crítica en la educación formal y responsabilidad compartida entre industria, reguladores y sociedad civil.
The accelerated advancement of artificial intelligence (AI) has profoundly transformed the digital ecosystem, generating new opportunities and risks in the processing of personal data. The objective of this study is to analyze vulnerabilities in the protection of minors' personal data against artificial intelligence systems. The approach is qualitative, descriptive, and based on a systematic review following PRISMA guidelines for the period 2020-2025. The databases consulted were Web of Science, Scopus, PubMed, IEEE Xplore, and specialized repositories. A total of 1,247 initial studies were identified, of which 18 were included in the review. The findings reveal systematic practices of inadvertent data collection (89%) and non-consensual algorithmic profiling (78%), as well as exposure to inappropriate content and automated cyberbullying. It is concluded that the protection of minors requires a comprehensive approach that implements privacy-by-design principles, specialized regulatory frameworks, critical digital literacy in formal education, and shared responsibility between industry, regulators, and civil society.
The accelerated advancement of artificial intelligence (AI) has profoundly transformed the digital ecosystem, generating new opportunities and risks in the processing of personal data. The objective of this study is to analyze vulnerabilities in the protection of minors' personal data against artificial intelligence systems. The approach is qualitative, descriptive, and based on a systematic review following PRISMA guidelines for the period 2020-2025. The databases consulted were Web of Science, Scopus, PubMed, IEEE Xplore, and specialized repositories. A total of 1,247 initial studies were identified, of which 18 were included in the review. The findings reveal systematic practices of inadvertent data collection (89%) and non-consensual algorithmic profiling (78%), as well as exposure to inappropriate content and automated cyberbullying. It is concluded that the protection of minors requires a comprehensive approach that implements privacy-by-design principles, specialized regulatory frameworks, critical digital literacy in formal education, and shared responsibility between industry, regulators, and civil society.
Description
Vol. 5, No. 13