AI is coming and our languages need to catch the wave
Résumé
My point is simple. Our languages must become AI compatible if they are to survive the coming deployment of applications
based on personal data.
Artificial Intelligence (AI), a system characterized by models that are trained using extensive datasets, including linguistic data,
has become an integral part of our daily lives. This is evident in our frequent interactions with predictive typing and voice
recognition technologies on smartphones. Currently, we are witnessing only the initial phase of its societal integration. With
this context in mind, I draw a parallel between the social integration of AI and that of mobile phones. In a detailed analysis
comprising twelve points, I outline the manner in which the previous technological revolution, namely mobile phones, became
embedded in our lifestyles. I draw comparisons with the ongoing AI revolution at each of these stages.
The present phases in AI development are laying the groundwork for the implementation of applications reliant on personal
data. I offer a detailed explanation of why, from my perspective, AI applications that utilize personal data pose a significant risk
of drastically reducing the world’s linguistic diversity in the near future. Although the swift integration of AI into our lives
seems almost inevitable, the specific threat of linguistic homogenization can be mitigated. This mitigation is possible through
the adaptation of our languages to be compatible with these AI models.
I advocate for a collective effort encompassing public, industrial, scientific, and societal sectors. This mobilization is crucial to
ensure that human languages successfully navigate, rather than drown in, the AI tide.
Fichier principal
Jouitteau. 2024. AI is coming and our languages need to catch the wave - with front page.pdf (683.23 Ko)
Télécharger le fichier
Origine | Fichiers éditeurs autorisés sur une archive ouverte |
---|