earticle

영어

This study analyzes the evolution of AI translation technology from the perspective of the philosophy of language. AI translation has advanced to a stage where it infers context and meaning through NMT. This evolution has triggered a philosophical debate and fear regarding whether AI can encroach on the domain of pragmatics, including human intention and emotion. This debate is broadly divided into two main viewpoints: anti-AI and pro-AI. Meanwhile, Quine and Wittgenstein view meaning not as a fixed entity, but as something determined by usage, context, and communal consensus. This perspective is analogous to AI, however, and AI lacks deep consensus and social practice of a human community, thus showing limitations in translating pragmatic discourse that goes beyond the straightforward narrative level. Beyond these technical limitations, a critical challenge is that AI translation faces major hurdles: algorithmic bias, which amplifies social prejudices inherent in the training data, and linguistic homogenization, which threatens the diversity of minority languages. As a methodical solution, this article proposes defining AI translation as a distinct 'sociolect' (or 'social language') with its own unique rules and characteristics.