Is Your Data Ready for AI? What Five Years of Reports from 26 Regulators Reveal About Data and AI Governance

Working paper reporting, in brief, a document study of the 129 College Performance Measurement Framework (CPMF) reports filed by the 26 health regulatory colleges of Ontario, Canada, for 2020–2024. Each report was scored on a nine-dimension data and AI governance rubric, and all 1,030 forward-looking commitments were traced across the five reporting cycles. In brief: regulators report completing 56% of what they commit to and about one commitment in five is carried over unfinished; data quality is the least-described dimension; no report describes an AI impact assessment or monitoring of AI in use; and once data capability is taken into account, organizational size explains much less of which commitments get stuck. Detailed results are reserved for the full report. The codebook, scoring anchors, coded register and regulator-level results are not included. Findings are provisional. Conducted by Adelaide Advisory Group Inc., which provides consulting services to regulators.