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FENOMENOLOGÍA CRÍTICA DEL PROMPTING EN LA INTELIGENCIA ARTIFICIAL.

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Bibliographic Details
Title: FENOMENOLOGÍA CRÍTICA DEL PROMPTING EN LA INTELIGENCIA ARTIFICIAL. (Spanish)
Alternate Title: Critical Phenomenology of Prompting in Artificial Intelligence. (English)
Authors: GONZÁLEZ AROCHA, JORGE
Source: Sophia, Colección de Filosofía de la Educación; jul-dic2025, Issue 39, p141-165, 25p
Subject Terms: LANGUAGE models, ARTIFICIAL intelligence, TECHNOLOGICAL innovations, REFLECTION (Philosophy), DISCURSIVE practices
Abstract (English): This paper analyzes the philosophy of prompting as a tool within the context of the rise of Artificial Intelligence (AI), particularly in large language models (LLMs). The topic is justified by the need to understand the prompt as a mediating space between human intentionality, language, and the sociopolitical structures that shape interactions with these technologies. The central objective is to examine how prompting reflects ethical, ontological, and epistemological tensions that arise in the construction of meaning within AI systems. Methodologically, the study adopts a critical-phenomenological approach, combining first-person experiences (user) with practical experimentation of prompts in different scenarios. The results demonstrate that the prompt is not merely a technical instruction but a discursive practice, where human decisions, such as the configuration of "parameters" (e. g., temperature and Top P), directly influence the outputs generated by AI systems. While these decisions appear technical, they carry significant ethical and epistemological implications that demand critical examination. The study concludes that it is essential to adopt an interdisciplinary approach that integrates technical development with philosophical reflection. This approach would foster an ethical, conscious, and responsible use of AI while recognizing the central role of humans in interactions with these emerging technologies. [ABSTRACT FROM AUTHOR]
Abstract (Spanish): El artículo analiza la filosofía del prompting como herramienta en el contexto del auge de la inteligencia artificial (IA), particularmente en los modelos de lenguaje a gran escala (LLM). Se justifica por la necesidad de comprender el prompt como un espacio mediador entre la intencionalidad humana, el lenguaje y las estructuras sociopolíticas que configuran la interacción con estas tecnologías. El objetivo central es examinar cómo el prompting refleja tensiones éticas, ontológicas y epistemológicas que emergen en la construcción de significado dentro de sistemas de IA. Metodológicamente, se adopta un enfoque fenomenológico-crítico, que articula la experiencia en primera persona (usuario) con experimentación práctica de prompts en distintos escenarios. Los resultados evidencian que el prompt no es una simple instrucción técnica, sino una práctica discursiva en la que decisiones humanas, como la configuración de parámetros (temperatura y Top P), influyen directamente en los resultados generados por los sistemas de IA. Estas decisiones, aunque técnicas, poseen implicaciones éticas y epistemológicas que requieren ser analizadas de manera crítica. El estudio concluye que es fundamental adoptar una aproximación interdisciplinaria que combine el desarrollo técnico con la reflexión filosófica. Esto permitiría promover un uso ético, consciente y responsable de la IA, al tiempo que se reconoce el papel central del ser humano en la interacción con estas tecnologías emergentes. [ABSTRACT FROM AUTHOR]
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Description
Abstract:This paper analyzes the philosophy of prompting as a tool within the context of the rise of Artificial Intelligence (AI), particularly in large language models (LLMs). The topic is justified by the need to understand the prompt as a mediating space between human intentionality, language, and the sociopolitical structures that shape interactions with these technologies. The central objective is to examine how prompting reflects ethical, ontological, and epistemological tensions that arise in the construction of meaning within AI systems. Methodologically, the study adopts a critical-phenomenological approach, combining first-person experiences (user) with practical experimentation of prompts in different scenarios. The results demonstrate that the prompt is not merely a technical instruction but a discursive practice, where human decisions, such as the configuration of "parameters" (e. g., temperature and Top P), directly influence the outputs generated by AI systems. While these decisions appear technical, they carry significant ethical and epistemological implications that demand critical examination. The study concludes that it is essential to adopt an interdisciplinary approach that integrates technical development with philosophical reflection. This approach would foster an ethical, conscious, and responsible use of AI while recognizing the central role of humans in interactions with these emerging technologies. [ABSTRACT FROM AUTHOR]
ISSN:13903861
DOI:10.17163/soph.n39.2025.04