AI in action: speaking all languages

L'IA en action: parler toutes les langues

Philippe Jean-Baptiste ()
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Philippe Jean-Baptiste: LEST - Laboratoire d'Economie et de Sociologie du Travail - AMU - Aix Marseille Université - CNRS - Centre National de la Recherche Scientifique

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Abstract: The article explores recent advances in artificial intelligence in the field of machine translation. Based on technologies such as Google Translate, DeepL or Whisper, AI now allows you to translate texts, voices, and even conversations in real time, with an unprecedented degree of fluidity and precision. Three main axes are developed: (1) automated written translation and its progress related to multilingual deep learning, (2) the rise of simultaneous voice translation in services, videoconferences or mobile assistance, and (3) video translation (subtitling, dubbing), which transforms uses in media, education or e-learning. Beyond the technical prowess, the article questions the cultural, ethical and professional implications of this new linguistic ubiquity. It warns of the risks of decontextualization, bias or standardization, while highlighting the contributions to inclusion, international cooperation and language learning.

Keywords: Artificial Intelligence; Machine Translation Content; Multilingual management; Traduction automatique Contenu; Management multilingue; Intelligence artificielle; GPT-4o; Google Translate; DeepL (search for similar items in EconPapers)
Date: 2025-09-29
New Economics Papers: this item is included in nep-mac
Note: View the original document on HAL open archive server: https://hal.science/hal-05308776v1
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Published in Management & Data Science, 2025

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-05308776

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