CONCEPT
Epistemic Commons Degradation
The erosion of the shared informational environment's self-correcting capacity when AI floods it with ungrounded but coherent claims—increasing the ratio of fabrication to fact, overwhelming verification infrastructure, lowering evidential standards.
The epistemic commons is the collective informational environment on which democratic deliberation, scientific progress, and cultural coherence depend—including shared facts, dispute-resolution methods, and institutions (journalism, science, education) maintaining evidential standards. Haack's framework reveals that the commons requires both anchoring (connection to experiential reality) and coherence (internal consistency), sustained through ongoing institutional labor. AI degrades the commons by flooding it with outputs that are coherent without being grounded. Before AI, producing epistemic pollution (false claims, sham reasoning) required effort—a natural bottleneck limiting volume. AI removes the bottleneck. A single user can generate dozens of fluent, well-cited, internally consistent analyses in hours—each exhibiting knowledge's surface features, each potentially ungrounded. As the ratio of ungrounded to grounded claims increases, the commons' self-correction mechanisms (fact-checking, peer review, verification) are overwhelmed. Standards erode from 'independently verified' to 'not obviously wrong' to 'someone said it.' The degradation is cumulative and invisible from inside.
In The You On AI Field Guide
Haack's work on the social epistemology