AI has experienced rapid and remarkable growth in recent years. Its widespread adoption across various fields is accompanied by an increasingly urgent need to reflect on its uses and potential misuses, especially when the deployment of intelligent systems can impact individuals’ lives and rights. The emergence of neural machine translation represents a significant improvement in quality compared to previous generations of translation systems, but can it play a fundamental role in the fair management of linguistic diversity and ensure language rights in multilingual societies? In this contribution, we will examine the relationship between language rights and translation, and then explore the impact of neural machine translation on linguistic diversity and the implementation of language rights.

Intelligence artificielle et diversité linguisique. Quelles gestion équitable pour la garantie des droits linguistiques ?

Mattioda Maria Margherita
2024-01-01

Abstract

AI has experienced rapid and remarkable growth in recent years. Its widespread adoption across various fields is accompanied by an increasingly urgent need to reflect on its uses and potential misuses, especially when the deployment of intelligent systems can impact individuals’ lives and rights. The emergence of neural machine translation represents a significant improvement in quality compared to previous generations of translation systems, but can it play a fundamental role in the fair management of linguistic diversity and ensure language rights in multilingual societies? In this contribution, we will examine the relationship between language rights and translation, and then explore the impact of neural machine translation on linguistic diversity and the implementation of language rights.
2024
1
22
https://www.jbe-platform.com/content/journals/15699889
Language Rights, Artificial Intelligence, Neural Machin Translation, Language Diversity
Mattioda Maria Margherita
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/2039050
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