DesignGPT para diseño industrial: Co-creación de productos en la era de la inteligencia artificial

Wilmer Gonzalo Chaca Espinoza, Sonia Verónica Ocaña Parra, Patricia Montenegro Cajas, Andrés Sebastián Medina Moncayo

Resumen


El presente estudio elaboró una reflexión crítica y argumentativa sobre este fenómeno recientemente emergente, DesignGPT, definido como la inclusión en la actividad del diseño industrial de inteligencia artificial generativa. Se elaboró una cartografía conceptual que exploraba cómo la IA había transformado el proceso creativo, la identidad del diseñador y propuesto nuevos enfoques de cocreación sostenidos entre humanos y algoritmos, con base en el análisis documental realizado mediante artículos científicos publicados entre 2016 y 2024. Se adopta un enfoque cualitativo, interpretativo y crítico, centrado en la documentación y el diálogo entre diferentes puntos de vista teóricos, dejando a un lado la forma de las metodologías empíricas o el análisis estadístico. Los resultados mostraron que la IA ayudó a ampliar el pensamiento divergente, a evitar la fijación creativa y a permitir una colaboración fluida que desafiaba los límites tradicionales de la autoría. Aparecieron tensiones éticas en forma de sesgo cultural, dispone incluso la necesidad de un marco inclusivo para el entrenamiento de los algoritmos. Estos resultados contienen ejemplos prácticos para ayudar a mejoras en la práctica del ideación por IA, particularmente en entornos del diseño profesional. Este estudio muestra una interpretación conceptual original que ayuda a reforzar la comprensión teórica del diseño algorítmico, como una práctica situada y simétrica.


Palabras clave


diseño industrial; inteligencia artificial generativa; ideación creativa; co-creación humano-máquina; ética del diseño algorítmico.

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Referencias


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DOI: https://doi.org/10.23857/pc.v10i6.9851

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