AI RESEARCH
From Prompts to Context: An Ontology-Driven Framework for Human-Generative AI Collaboration
arXiv CS.AI
•
ArXi:2605.29675v1 Announce Type: cross Collaborations with Generative AI often begin with a short prompt and end with an opaque output, leaving implicit who was involved, what task was being pursued, which resources were used, and which constraints should have shaped the process. This limited contextual explicitness hinders trust, traceability, and accountability, particularly when Generative AI is embedded in information-intensive workflows such as search, querying, and profile management. This paper.