What changes when artificial intelligence is given a permanent place inside an engineering institution, but not the final word? Avery Laurent and Morgan Elian sit at the intersection of scientific synthesis, governance, institutional memory and human responsibility, within a structure designed around distributed knowledge rather than a conventional headquarters.
The more interesting question is not whether AI belongs at the table, but what authority, limits and accountability should look like once it gets there.
