Artificial intelligence in action: listening like a machine

L’intelligence artificielle en action: écouter comme une machine

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: Voice recognition has become a central tool in many professional environments: automatic transcription of meetings, voice control, emotion or performance analysis. This article offers a critical exploration of uses, highlighting the technical, social and managerial issues related to this new form of algorithmic listening. Based on the latest advances (Whisper, GPT-4o), it questions the promises of efficiency, the risks of supervision, and the transformations induced for managers. Far from being neutral, these technologies call for an informed, ethical and thoughtful use in organizations.

Keywords: Reconnaissance vocale; surveillance et éthique des données; transcription automatique; whisper openAI; Apple Intelligence; IA émotionnelle; Google Assistant; Siri; assistant vocaux; alexa (search for similar items in EconPapers)
Date: 2025-09-10
Note: View the original document on HAL open archive server: https://hal.science/hal-05249093v1
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Published in Management & Data Science, 2025

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-05249093

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