Epistemic Systems & AI Governance
Material Accountability: A Normative Framework for Evaluating Epistemic Systems
Develops a normative framework for evaluating the conditions under which human, algorithmic, data, and institutional systems can respond to error and counterevidence.
Overview
The paper extends the descriptive architecture of the Correction Trilemma into a normative vocabulary for empirical corrigibility, traceable error correction, and counter-inductive capacity.
