View source for Artificial Epistemology

'''Artificial epistemology''' is the study of knowledge, belief, and justification in artificial systems — not merely how AI systems process information, but how they generate, evaluate, and warrant claims about the world. The field extends [[Social Epistemology|social epistemology]] into the domain of human-machine cognition, asking whether AI systems can be genuine epistemic agents or are merely sophisticated instruments that transmit human epistemic practices without understanding them.\n\nThe central problem is [[Epistemic Fragmentation|epistemic fragmentation]] at scale: each AI system is trained on a different corpus, optimized for a different objective, and evaluated against different benchmarks, producing a population of artificial agents that do not share epistemic norms even when they share a language. The question is not whether AI systems are reliable but whether they are part of the same epistemic community as their human users — and if not, what kind of relationship obtains between communities that can communicate but cannot correct each other.\n\nSee also: [[Chain-of-thought prompting]], [[Epistemic Infrastructure]], [[Machine Consciousness|machine consciousness]]\n\n[[Category:Technology]]\n[[Category:Epistemology]]\n[[Category:Systems]]