CONCEPT
Augmentation of Human Intellect
Augmentation treats the human-machine system as a partnership in which each component performs the tasks it handles best. Machines excel at storage, retrieval, computation, and pattern-matching across vast datasets. Humans excel at evaluation, synthesis, goal-setting, and the recognition of significance that cannot be specified in advance. Bush's 1945 framework reserved intellectual labor—deciding what matters, why, and what to do about it—for humans, while assigning mechanical labor to machines. The principle distinguished his vision from automation, which displaces human workers, and from mere tool use, which leaves cognitive architecture unchanged. Augmentation reshapes the human's role without eliminating it: the augmented researcher operates at a higher cognitive level, freed from mechanical burdens to focus on creative and evaluative work that machines cannot perform.
In The You On AI Field Guide
Bush developed the augmentation principle from direct observation of how researchers actually worked. The mechanical tasks—locating references, copying excerpts, organizing notes—consumed hours daily but required no particular insight. The intellectual tasks—recognizing that two