Reimaginando la agencia de datos en sistemas agénticos: Un modelo triádico HAD para la interacción humano-datos en arquitecturas de agentes IA
DOI:
https://doi.org/10.65234/interaccion.147Palabras clave:
Interacción Humano-Datos , Agentes IA , Autonomía de Agentes , Agencia de Datos , Transparencia , Sistemas Multi-Agente, Diseño Centrado en el UsuarioResumen
Los agentes autónomos de IA están transformando la relación de las personas con sus datos, actuando como intermediarios que perciben, razonan y operan sobre la información con supervisión humana limitada. Este artículo investiga la convergencia de los principios de Interacción Humano-Datos (HDI) y las arquitecturas modernas de agentes IA, tomando como referencia el Agent Development Kit (ADK) de Google. A partir de los fundamentos de HDI —legibilidad, agencia y negociabilidad— introducimos un modelo triádico Humano-Agente-Datos (HAD) que captura los desafíos de las experiencias de datos mediadas por agentes. El análisis expone tensiones entre autonomía y control, transparencia y eficiencia de delegación, y gobernanza individual frente a colectiva. Traducimos estas ideas en siete principios de diseño centrados en el usuario y un conjunto de extensiones arquitectónicas para ADK (delegación graduada, responsabilidad epistémica y permisos negociables), y discutimos sus implicaciones para el RGPD, el AI Act y la ENIA 2.0. Se incluye un escenario ilustrativo, una comparativa de plataformas y un protocolo de evaluación piloto con usuarios que operacionaliza las métricas de legibilidad y preservación del control.
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Derechos de autor 2026 Iván Durango, José A. Gallud, Víctor M. R. Penichet
Esta obra está bajo una licencia internacional Creative Commons Atribución-NoComercial 4.0.
