Percepción del docente sobre la otredad en la era de la inteligencia artificial

Recognizing the “other” in their uniqueness through otherness is crucial to establishing meaningful social bonds, especially in teaching. However, the subject-subject relationship is fragmented when its development is not prioritized. In parallel, the rise of Artificial Intelligence (AI), which emulates certain human capacities, drastically reshapes global dynamics. The aim of this study was to assess, from the paradigms of higher education teachers in Mexico City, how they recognize otherness and its possible existence in AI. The research followed a quantitative, descriptive, and cross-sectional approach, with a purposive sample of 88 teachers. An ad hoc instrument was applied, showing adequate internal consistency (α = 0.83). Results revealed that teachers conceptualize otherness as the recognition of heterogeneity and develop it inclusively. Regarding AI, they highlight its potential to enhance human capabilities, although most are not trained in its use. They consider it a social duty to use AI ethically and responsibly but do not attribute otherness to it due to its lack of emotions, self-motivation, and consciousness. The conclusion is that teachers need multidimensional literacy on AI. This technology blurs boundaries and redefines roles between the subject (humanism) and the object (materialism). From the perspective of posthuman nomadism, otherness may be understood in the future -with the development of General or Super AI- as organic, artificial, or hybrid.

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Publication Details

Journal
Sophía
Published
2025-07-14
DOI
https://doi.org/10.17163/soph.n39.2025.09
Citations
1
Primary Topic
Health and Lifestyle Studies
Type
article
Field-Weighted Citation Impact
2.82
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article

Percepción del docente sobre la otredad en la era de la inteligencia artificial

Cristiano Galafassi, Ricardo Alberto Reza Flores, Rosa María Vicari, Mireia Usart
1 citations
Sophía
Health and Lifestyle Studies
2.82
article

Percepción del docente sobre la otredad en la era de la inteligencia artificial

Cristiano Galafassi, Ricardo Alberto Reza Flores, Rosa María Vicari, Mireia Usart
article en
1 citations

Abstract

Recognizing the “other” in their uniqueness through otherness is crucial to establishing meaningful social bonds, especially in teaching. However, the subject-subject relationship is fragmented when its development is not prioritized. In parallel, the rise of Artificial Intelligence (AI), which emulates certain human capacities, drastically reshapes global dynamics. The aim of this study was to assess, from the paradigms of higher education teachers in Mexico City, how they recognize otherness and its possible existence in AI. The research followed a quantitative, descriptive, and cross-sectional approach, with a purposive sample of 88 teachers. An ad hoc instrument was applied, showing adequate internal consistency (α = 0.83). Results revealed that teachers conceptualize otherness as the recognition of heterogeneity and develop it inclusively. Regarding AI, they highlight its potential to enhance human capabilities, although most are not trained in its use. They consider it a social duty to use AI ethically and responsibly but do not attribute otherness to it due to its lack of emotions, self-motivation, and consciousness. The conclusion is that teachers need multidimensional literacy on AI. This technology blurs boundaries and redefines roles between the subject (humanism) and the object (materialism). From the perspective of posthuman nomadism, otherness may be understood in the future -with the development of General or Super AI- as organic, artificial, or hybrid.

Sophía(39)
Universidade Federal do Rio Grande do Sul (BR), Universidad Autónoma de la Ciudad de México (MX), Universitat Rovira i Virgili (ES), Universidade Federal do Pampa (BR)
Openalex Percentile: Top 10%
Health and Lifestyle Studies
2.82
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Percepción del docente sobre la otredad en la era de la inteligencia artificial — Cristiano Galafassi, Ricardo Alberto Reza Flores, et al. · Sophía (2025) | TGRS Research Map | TGRS