Loros estocásticos y filosofía: sobre el entendimiento de la inteligencia artificial
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Martén Saborío, Sergio
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El artículo propone una definición puntual y clara, basada en distinciones conceptuales relevantes, del problema de la opacidad epistémica inherente con respecto a los modelos complejos de IA. Para ello, se parte de un análisis minucioso desde las bases de la filosofía de la IA: los distintos tipos de IA, el funcionamiento de los modelos más complejos de IA y, finalmente, un conjunto de herramientas epistemológicas que permiten comprender el alcance y la naturaleza del problema de la opacidad epistémica, así como ofrecer la definición mencionada como objetivo principal.
The paper offers a concise and clear definition of the inherent epistemic opacity found in complex AI models, based on key conceptual distinctions. To this end, it begins with a meticulous analysis of the foundations of the philosophy of AI: the various types of AI, how the most complex models work, and finally, a set of epistemological tools that help clarify the nature and scope of the epistemic opacity problem, which allows for the formulation of its precise definition, the main objective of this paper.
The paper offers a concise and clear definition of the inherent epistemic opacity found in complex AI models, based on key conceptual distinctions. To this end, it begins with a meticulous analysis of the foundations of the philosophy of AI: the various types of AI, how the most complex models work, and finally, a set of epistemological tools that help clarify the nature and scope of the epistemic opacity problem, which allows for the formulation of its precise definition, the main objective of this paper.
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opacidad epistémica, inteligencia artificial, redes neuronales, capas ocultas, epistemología, interpretabilidad, epistemic opacity, artificial intelligence, neural networks, hidden layers, epistemology, interpretability
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