CONCEPT
Usable Knowledge
Lindblom and David Cohen's 1979 concept for knowledge that can actually inform action under the time, cognitive, and political constraints of real decision-making — as distinct from the comprehensive theoretical understanding that social science aspires to produce.
Usable knowledge is the concept Lindblom developed with David Cohen in their 1979 book of the same name. It names the knowledge that can actually inform practical action, given the constraints that real decision-makers operate under: limited time, bounded cognition, contested values, and political feasibility. The concept distinguishes usable knowledge from the comprehensive theoretical understanding that academic social science aspires to produce — understanding that may be more rigorous but is also, for practical purposes, less useful because it arrives too late, requires too much interpretation, or addresses problems at a level of generality that specific decisions cannot translate.
In The You On AI Field Guide
The distinction matters for AI governance because it clarifies what kind of analysis policy-makers should seek. Comprehensive theoretical analyses of AI's social consequences are academically valuable but politically unusable. By the time the analysis is completed, the technology has moved. By the time the analysis has been translated into decision-relevant terms,