Surveillance through artificial intelligence and big data: challenges and opportunities to guarantee human rights
Article Sidebar
Main Article Content
Abstract
Surveillance through artificial intelligence and big data has become common. Various technological and digital systems have been developed gradually, to overcome the ethical and regulatory supervision mechanisms to guarantee respect for human rights. This article explores the trends in the development,
use and surveillance of information technologies in terms of artificial intelligence, to give a diagnosis from a real and normative approach. The excesses, limitations and challenges faced by surveillance will be shown, as well as the protection of human rights and the possible appearance of victims of human rights violations, to contribute to the development of the investigation and the normative protection of this phenomenon.
Downloads
Article Details
This work is licensed under a Creative Commons Attribution 4.0 International License.
Métricas
References
Álvarez Torre, L. (2018). El Big data y el cambio en el modelo de negocio de las empresas de e-commerce: el caso de Amazon y Alibaba. Madrid: Universidad Pontificia Comillas. Disponible en: https://repositorio.comillas.edu/xmlui/handle/11531/18640
Barocas, S. y Selbst, A.D. (2016). “Big Data’s Disparate Impact”. California Law Review, vol. 104, No. 3, June 2016.
Bathaee, Y. (2018). “The artificial Intelligence black box and the failure of intent and causation”. Harvard Journal of Law & Technology, Vol. 31, No. 2, Spring 2018. 890-938.
Cascón-Katchadourian, J. (2020). “Tecnologías para luchar contra la pandemia Covid 19: geolocalización, rastreo, big data, SIG, inteligencia artificial y privacidad”. Disponible en: https://revista.profesionaldelainformacion.com/index.php/EPI/article/view/79450
Casas Roma, J., Nin Guerrero, J., y Julbe López, F. (2019). “Big Data: Análisis de datos en entornos masivos”. Barcelona: Universitat Oberta de Catalunya.
Fjeld, J., Achten, N., Hilligoss, H., Nagy, A., y Srikumar, M. (2020). “Principled Artificial Intelligence: Mapping Consensus in Ethical and Rights-based Approaches to Principles for AI”. Disponible en: https://dash.harvard.edu/bitstream/handle/1/42160420/HLS%20White%20Paper%20Final_v3.pdf ?sequence=1&isAllowed=y
García Ricci, D. (2013). “Artículo 16 constitucional. Derecho a la privacidad”. En Ferrer Mac-Gregor Poisot, E. et al. (coords.), Derechos Humanos en la Constitución: Comentarios de Jurisprudencia Constitucional e Interamericana. Tomo I. México: Suprema Corte de Justicia de la Nación, Universidad Nacional Autónoma de México, Fundación Konrad Adenauer.
Gómez Gil, M. (2015). “Aprendizaje profundo. El poder del aprendizaje automático unido al poder de cálculo de las computadoras actuales”. Disponible en: https://ccc.inaoep.mx/~pgomez/conferences/PggTSys16.pdf
Niño, M., e Illarramendi, A. (2015). “Entendiendo el Big Data: antecedentes, origen y desarrollo posterior”. Disponible en: https://www.dyna-newtech.com/busqueda-NT/entendiendo-big-data-antecedentes-origen-y-desarrollo-posterior