dailyai.report

Analysis of 409 systems in the Federal AI Register reveals that 86% of tools serve internal efficiency. Researchers using the ADMAPS framework argue the registry obscures accountability through selective reporting. This gap between sovereign AI rhetoric and actual practice warns practitioners that government transparency registers often mask the true scope of algorithmic deployment.