AI RESEARCH
Bureaucratic Silences: What the Canadian AI Register Reveals, Omits, and Obscures
arXiv CS.AI
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ArXi:2604.15514v1 Announce Type: new In November 2025, the Government of Canada operationalized its commitment to transparency by releasing its first Federal AI Register. In this paper, we argue that such registers are not neutral mirrors of government activity, but active instruments of ontological design that configure the boundaries of accountability. We analyzed the Register's complete dataset of 409 systems using the Algorithmic Decision-Making Adapted for the Public Sector (ADMAPS) framework, combining quantitative mapping with deductive qualitative coding.