Gaps
Missing pieces and open questions in Generative AI and Human Collaboration.
Gaps document the missing pieces, unresolved tensions, and open questions in the domain of Generative AI and Human Collaboration. They are not failures — they are honest maps of where the field’s current frameworks run out.
A gap resists resolution not from lack of research, but from structural limits: wicked problems, paradigm constraints, or questions that require a different framework to approach.
See the index for an overview of all sections.
| Title | Created | Modified |
|---|---|---|
The “Symbiotic Intelligence over Automation” tenet requires that symbiosis be distinguishable from sophisticated substitution — but this distinction cannot be reliably verified. The question of whether AI collaboration builds human capability or hollows it out hits four structural barriers that prevent clean resolution even in principle. More data, longer studies, or better instruments will not close this gap. It is a permanent limit on what the framework can confirm about itself. | 2026-03-10 | 2026-03-10 |
Every domain of inquiry has its limits. This section explores this framework’s voids: the questions that resist resolution not because we haven’t looked hard enough, but because they hit structural limits — of our methods, our concepts, or the domain itself.
What Is a Void? A void is not simply an unanswered question. It is a question where the nature of the question creates resistance. Three kinds:
The Unexplored — territory we haven’t mapped yet. These are voids of ignorance, representing opportunities for research. They become topics and concepts as we investigate. | 2026-01-08 | 2026-03-09 |