CONCEPT
Reduction Literacy
The practice of making visible — through deliberate reflection — what the amplification of AI tools has reduced, concealed, or eliminated from the builder's unmediated experience.
Reduction literacy is the Ihde volume's normative proposal for responsible AI use. The amplification-reduction structure guarantees that every cognitive gain from AI is accompanied by a cognitive loss; the asymmetry of visibility guarantees that the gain will be salient and the loss invisible. Reduction literacy is the cultivated capacity to ask what the amplification has cost — what understanding has not been built because the tool built it, what creative paths have not been explored because the tool made other paths frictionless, what cognitive capacities have not been exercised because the tool exercised them on the builder's behalf. The questions are uncomfortable by design. Their discomfort is diagnostic of the practice's necessity.
In The You On AI Field Guide
The practice has an ancestor in Segal's description of deleting Claude's smooth passages and writing by hand until he found 'the version of the argument that was mine.' The hand-written version was 'rougher, more qualified, more honest about what he didn't know.' The roughness was the signal without the