A discussion among Data Foundation Senior Fellows Liv Watson and Catherine Atkin and Michelle Savage of XBRL US about the proposal to adopt structured, standardized, machine-readable reporting via a semantic data model to improve interoperability, support investors and policymakers, enhance AI use through better context, and reduce a growing patchwork of regulations. Listen to the discussion.
