Language is not a data set—Why overcoming ideologies of dataism is more important than ever in the age of AI.

The article discusses the importance of moving away from viewing language as data in the age of AI and digitalization. It highlights the historical colonial roots of linguistic research and the need to consider language in its social, political, and technological context. The authors emphasize the necessity of using ethnography to understand language practices and the impact of AI technologies on language ideologies. They also call for a critical examination of the sociopolitical structures and commercialization of language technologies. The article suggests that a holistic approach to studying language in the digital age is essential to address digital inequalities and the impact of AI on language practices and policies. [Extracted from the article]