Tracing AI's Functional Role in Human-Machine Symbiosis
A new arXiv preprint (2605.00440) proposes a methodology for tracing the functional role of artificial intelligence in natural language generation. As AI blurs the boundary between human and machine, the study argues that AI-generated information arises from mutual shaping rather than isolated sources. The role of AI, often specified in prompts, becomes untraceable when content is detached from dialogue context. The research addresses this problem by developing a method to identify how AI participated in content creation.
Key facts
- arXiv preprint number 2605.00440
- Announce type: new
- Study focuses on tracing AI's functional role in natural language generation
- AI-generated information arises from human-machine mutual shaping
- AI's role specified in prompts but becomes unobservable when content is detached from dialogue context
- Methodology proposed to trace AI's functional role
Entities
Institutions
- arXiv