Bhashini’s AI translation tool risks deepening colonial linguistic hierarchies in governance—who decides whose languages matter?
Original framing: “Bhashini launches multilingual translation platform at governance programme” — bing news
Marginalized voices—such as *Dalit* activists in Tamil Nadu demanding translation tools that include *Kannada* dialects or *Adivasi* groups in Jharkhand rejecting Hindi-centric platforms—are entirely absent from the narrative. The *Endangered Languages Project* highlights how AI translation often excludes languages with <100,000 speakers, while *Amnesty International* reports that governance tech in India disproportionately silences *Muslim* and *tribal* communities. These voices reveal Bhashini’s platform as a tool of bureaucratic control, not empowerment, with marginalized groups bearing the brunt of its linguistic erasure.
Bhashini’s multilingual AI platform is not a neutral innovation but a continuation of colonial linguistic engineering, repackaged as 'inclusive governance.
' The narrative obscures how historical projects—from the *British Raj’s* vernacular press acts to the *Qing Dynasty’s* script mandates—used language standardization to consolidate power, and how modern AI replicates these dynamics through data extraction and bureaucratic control. Marginalized voices, from *Dalit* activists in Tamil Nadu to *Navajo* language revivers, reveal the platform’s risks: deepening caste-linguistic hierarchies, eroding indigenous sovereignty, and entrenching corporate-state surveillance under the guise of 'digital public goods.' Solutions must center community-led linguistic sovereignty, reparative archives, and trickster tech to expose the absurdity of treating language as a computational problem rather than a living, relational system. The synthesis of these dimensions demands a radical shift—from Bhashini’s extractive model to one where language is a site of resistance, not submission.