Tourism, human competencies, and generative artificial intelligence: a critical reading on knowledge, work, and algorithmic mediation.
DOI:
https://doi.org/10.48160/25913530di30.602Keywords:
tourism, human competencies, generative artificial intelligence, algorithmic mediationAbstract
This article offers a critical reading of tourism as a field of knowledge and as an ecosystem of human competencies in a context shaped by the expansion of generative artificial intelligence. Drawing on a conceptual review and on dialogue with disciplinary scholarship and institutional literature on transferable skills in tourism, it argues that while AI can expand capacities for synthesis, recommendation, and decision support, it does not replace central dimensions of tourism work and knowledge linked to social interaction, contextual judgment, cultural sensitivity, and ethical deliberation.
The article examines AI as a form of algorithmic mediation in the production, circulation, and hierarchization of tourism knowledge, and discusses its effects on visibility, bias, and discursive homogenization. Within this framework, it proposes approaching the relationship between artificial intelligence and human capabilities through the lens of critical complementarity, with attention to the institutional, labour, and epistemological conditions under which these technologies are integrated. In doing so, the article contributes to the contemporary debate on tourism, work, and technology by strengthening the sector’s conceptual anchoring and opening an agenda for reflection on governance, validation, and knowledge quality in hybrid arrangements.
Downloads
Published
How to Cite
Issue
Section
Categories
License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
AUTORIZACIÓN DE CESIÓN NO EXCLUSIVA DE DERECHOS Y DECLARACIÓN DE CONFLICTO DE INTERESES
El\La autor\a cede en forma gratuita y no exclusivo los derechos de distribución, reproducción y comunicación pública de la obra.
Las obras se publican en la edición electrónica de la revista bajo la Licencia Creative Commons Atribución-NoComercial-SinObraDerivada 4.0 Internacional (CC BY-NC-ND 4.0)
Se autoriza a compartir (redistribuir el material en cualquier medio o formato) y adaptar (transformar y crear contenido para otra obra) en la medida en que sea citada correctamente la autoría así como la fuente original (revista, ubicación de la obra) y se conserven los mismos términos de la licencia.
La cesión de derechos no exclusivos involucra, a su vez, la autorización --por parte del o la autor/a— de depósito en el Repositorio Institucional de Acceso Abierto de la Universidad Nacional de Quilmes (RIDAA) y su difusión a través de las bases de datos que el cuerpo editorial considere adecuada para su indización.
El\La autor\a declara respetar los principios éticos a la investigación y no incurrir en ningún conflicto de intereses.