The performance of an algorithm, among others artificial intelligence algorithms, could be compromised by the inaccuracy of the input data when running it, not only by the data used for development. Therefore, in the assessment of a processing activity that embeds an…
Privacy Enhancing Technologies (PET) enable data sharing by ensuring data protection principles and will also build trust between different actors when sharing data. Federated Learning techniques are a category of PET that allow the development of machine…
An AI system, or several AI systems, could be means selected by a controller to implement personal data operations of a processing activity. It is key to understand that the final purpose of a processing activity is different from the means selected and performed to…
In recent years, the use of techniques called “User and Entity Behavior Analytics” (UEBA) has spread wide over. These types of techniques have a multitude of applications that always have something in common: record the behavior of users in the past, model this…
The anonymization is a processing that requires the application of the proactive responsibility principles. This means that the controller must ensure, with a formal analysis, that the anonymized data set is not re-identifiable. However, it must be assumed that there…
auditoria, evaluación de impacto, gestión del riesgo, L.O. 7/2021, medidas, protección de datos desde el diseño y por defecto, Responsabilidad proactiva, RGPD
The measures that guarantee and demonstrate that a processing is in conformity with data protection regulations must be reviewed and updated in the event of any change in the nature, scope, context, purposes of the processing or any change in the risks to the rights…
Brain-computer interfaces make possible to record the activity generated by the brain. This activity depends on internal and external factors to the individual, which act on a certain genetic basis. These technologies allow the collection of neurodata which, as they…
Recent advances in neuro-technology and artificial intelligence are enabling the emergence of a growing number of connected devices that monitor brain activity for different purposes.
