Reflective Collaboration between Human and AI: A Case Study in Real-World Interaction
This paper documents a unique, reflective collaboration between a human user and an AI assistant (ChatGPT-4) to explore limitations, potential, and architectural considerations of AI in long-form interaction. Covering five core themes from trust-building to system-level design flaws, it presents both user experience and technical insight. The dialogue-inspired approach offers new ground for studying AI not only as a tool but also as a cognitive partner.
Institutions
- OpenAI (United States) (US)
- Oldham Council (GB)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-06-08
- DOI
- https://doi.org/10.5281/zenodo.15617625
- Primary Topic
- Topic Modeling
- Type
- article
- Field-Weighted Citation Impact
- 0.00