Power Translation from Tradition to Artificial Intelligence: Reconceptualizing Socio-Environmental Discourse

This article reconceptualizes the shifting dynamics of power translation in socio-environmental discourse as it transitions from a foundation in cultural intelligence to one increasingly shaped by artificial intelligence (AI). Moving beyond a focus on translated texts or the role of human translators, this study explores the theoretical underpinnings of discursive power transition within the context of evolving AI technologies. By juxtaposing traditional theories of translation and discourse with the emerging paradigm of AI-driven "discoursification," the article examines how power is translated, transformed, and renegotiated. It investigates the similarities and differences between socio-linguistic translation and the transmutation of power dynamics in multilingual socio-environmental communication. The analysis focuses on the implications of this shift, addressing critical issues such as algorithmic bias, the inclusion of marginalized voices, and the ethical representation of diverse viewpoints. Ultimately, the article contributes to a deeper understanding of how power dynamics are reconfigured in the age of AI, fostering a more critical and inclusive discourse framework for socio-environmental contexts.

کلیدواژه ها:

Power Translation ، Artificial Intelligence ، Socio-Environmental Discourse ، Discoursification ، Translation Theory ، Discourse Analysis ، Algorithmic Bias ، Multilingual Communication