Beyond Replacement: A Hermeneutic Phenomenological Approach to Human-AI Collaboration

This paper examines the integration of large language models (LLMs) in the workplace using a hermeneutic phenomenological approach, highlighting the critical differences between human language use and LLM operational mechanisms. It challenges the uncritical adoption of LLMs, emphasizing their limitations in contextual understanding and intuitive decision-making. Advocating a reimagined workforce, the paper proposes viewing LLMs as "AI interns" and humans as "Master Orchestrators," focusing on enhancing human creativity and ingenuity to ensure AI supports rather than replaces human capabilities.