TechnicalArticle 3(30)
Datos de validación
Datos utilizados para evaluar el modelo de IA entrenado y ajustar sus parámetros no aprendibles y su proceso de aprendizaje, entre otras cosas para evitar el subajuste o sobreajuste y comprobar que el modelo de IA ha aprendido correctamente.
Términos relacionados
- Training DataData used for training an AI system through fitting its learnable parameters, including the weights of a neural network, to ensure the system can produce…
- Testing DataData used for providing an independent evaluation of the AI system in order to confirm the expected performance of that system before its placing on the…
- Input DataData provided to or directly acquired by an AI system on the basis of which the system produces an output.
- Biometric DataPersonal data resulting from specific technical processing relating to the physical, physiological, or behavioural characteristics of a natural person,…
- Deep FakeAI-generated or manipulated image, audio, or video content that resembles existing persons, objects, places, entities, or events and that falsely appears…
- AI SystemA machine-based system designed to operate with varying levels of autonomy and that may exhibit adaptiveness after deployment, and that, for explicit or…
Actualice cuando la conformidad deba ser
El cuestionario gratuito ofrece señales preliminares. La Evaluación Completa convierte la documentación real del sistema en un expediente de decisión auditable: extracción, separación de componentes, evidencias, normativas nacionales y dossier listo para auditoría.
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