Most educational AI discourse is organized around capability. The more consequential question is one of authority: when a system produces an interpretation, who decides what it means and what happens next?
01Three commitments
- 01Intelligence informs; people decide. No consequential action is taken by the system alone.
- 02Every output is interrogable. A person can ask why, and receive an answer in the vocabulary of teaching rather than the vocabulary of modeling.
- 03The learner is a participant, not a subject. Learners see their own intelligence and can use it for their own purposes.
A model that cannot explain itself to a professor has not earned a place in their classroom.
The third commitment is the one most often skipped. Systems built to inform institutions about learners, without informing learners about themselves, produce an asymmetry that is both ethically uncomfortable and practically wasteful — the person best positioned to act on the intelligence is the one denied access to it.
Artifact Research · Artifact Intelligence
Artifact Research publishes the working thinking behind the Learning Intelligence Platform, including the parts that are still open questions.