The growing prevalence of conversational voice interfaces, powered by developments in both speech and language technologies, raises important questions about their influence on human communication. While written communication can signal identity through lexical and stylistic choices, voice-based interactions inherently amplify socioindexical elements - such as accent, intonation, and speech style - which more prominently convey social identity and group affiliation. There is evidence that even passive media such as television is likely to influence the audience's linguistic patterns. Unlike passive media, conversational AI is interactive, creating a more immersive and reciprocal dynamic that holds a greater potential to impact how individuals speak in everyday interactions. Such heightened influence can be expected to arise from phenomena such as acoustic-prosodic entrainment and linguistic accommodation, which occur naturally during interaction and enable users to adapt their speech patterns in response to the system. While this phenomenon is still emerging, its potential societal impact could provide organisations, movements, and brands with a subtle yet powerful avenue for shaping and controlling public perception and social identity. We argue that the socioindexical influence of AI-generated speech warrants attention and should become a focus of interdisciplinary research, leveraging new and existing methodologies and technologies to better understand its implications.

本研究探讨了日益普及的对话式语音界面对人类沟通的影响，尤其是在社交身份和群体归属感的表达上。研究指出，对话式人工智能通过交互式特性，可能通过声学节奏和语言适应等现象显著改变人们的日常言语模式，进而对社会认知和身份塑造产生深远影响。因此，研究呼吁更多跨学科的关注和研究，以深入理解其潜在影响。

人工智能将如何影响我们的语言？合成语音的新兴社会语言学影响