CONCEPT
Matters of Concern
Latour's distinction for questions that are contested, value-laden, and entangled with power — as opposed to matters of fact, which circulate as if settled. The analytic move that re-opens prematurely closed AI debates by converting confident numbers back into political questions.
A matter of fact is something treated as settled — uncontroversial, available for citation without provoking debate. A matter of concern is contested, uncertain, and entangled with values and interests. Modern discourse has a persistent tendency to convert matters of concern into matters of fact — to close contested questions by appealing to data as though data spoke for itself. The AI discourse is saturated with matters of concern circulating as matters of fact: the twenty-fold productivity claim, the democratization thesis, the job-displacement narrative. Each strips a complex, network-embedded phenomenon of its political and evaluative dimensions and presents the residue as empirical settlement. Re-opening these questions as matters of concern is the prerequisite for governance that deliberates rather than merely implements.
In The You On AI Field Guide
The distinction emerged from Latour's late-career engagement with critiques of science — particularly the criticisms he himself had been accused of enabling. In Why