Good points, and I agree. There is a reflex out there right now that anything generated by LLM's is not human attributable. However, the human is the initiator, the guide, the decision maker and judge. The LLM is an amplifier of the human's thought. If we keep the full working session history we can show the human contribution explicitly, but we also expose the full thought processes, etc, and it becomes a privacy question if we were to attach that information to the output product. How do we shift the perceptions that are driving these hostile viewpoints?
I propose Channel Engineering, and will be releasing a paper with the full reasoning soon. The TLDR is that it is a communication channel between a Human and AI, mediated by a deterministic agent loop process. That loop is in control of the channel and needs to own it completely to solve for the reliability of the delivered outcomes in ways that can be concretely measured.