In an era increasingly dominated by artificial intelligence (AI), the essence of human conversation is undergoing significant transformation. Once exclusively human, conversation is now increasingly mediated by AI agents, voice assistants, and digital platforms. This paper critically explores this profound shift, examining the nature and implications of hybrid human machine discourse. Addressing three fundamental questions, we interrogate what constitutes genuine conversation when one party lacks consciousness and emotion; how traditional norms of human dialogue translate into human-machine interactions; and what considerations developers and governance frameworks must prioritize in this evolving context. Building upon Nass and Brave’s (2005) concept of “voice activation,” which demonstrates humans’ inherent social responses toward artificial speech, this study identifies the dual promise and peril of conversational AI, emphasizing the risks of confusion, over-trust, and emotional misdirection. Arguing that AI-driven dialogue is not merely automation but a profound cultural and ethical shift, this research advocates for new literacies, ethical frameworks, and a re-evaluation of what authentic communication entails. By tracing the philosophical roots and current technological practices of conversation, the study underscores the urgency of rethinking communication ethics, literacy, and practice in our increasingly hybrid human-machine conversational landscape.

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The Future of Conversation is Evolving from Human Dialogue to Hybrid Human-Agentic Discourse

  • Tegwen Malik,
  • Laurie Hughes,
  • Yogesh K. Dwivedi

摘要

In an era increasingly dominated by artificial intelligence (AI), the essence of human conversation is undergoing significant transformation. Once exclusively human, conversation is now increasingly mediated by AI agents, voice assistants, and digital platforms. This paper critically explores this profound shift, examining the nature and implications of hybrid human machine discourse. Addressing three fundamental questions, we interrogate what constitutes genuine conversation when one party lacks consciousness and emotion; how traditional norms of human dialogue translate into human-machine interactions; and what considerations developers and governance frameworks must prioritize in this evolving context. Building upon Nass and Brave’s (2005) concept of “voice activation,” which demonstrates humans’ inherent social responses toward artificial speech, this study identifies the dual promise and peril of conversational AI, emphasizing the risks of confusion, over-trust, and emotional misdirection. Arguing that AI-driven dialogue is not merely automation but a profound cultural and ethical shift, this research advocates for new literacies, ethical frameworks, and a re-evaluation of what authentic communication entails. By tracing the philosophical roots and current technological practices of conversation, the study underscores the urgency of rethinking communication ethics, literacy, and practice in our increasingly hybrid human-machine conversational landscape.