The Standards Council of Canada published the Canadian Data Governance Standardization Roadmap. The roadmap describes the current and desired Canadian standardization landscape with 35 issues and addresses gaps and new areas where standards are needed. The recommendations include (1) Quality — establishing standardization solutions for systems and controls so that high-quality data can be achieved (2) Trust — building the foundation of trust through standardization to know that those using data are using it properly and respecting privacy, security and transparency regulations and frameworks, (3) Ethics — Ensuring that AI machine learning tools are ethical and that explainability can be achieved and supported by standardization, systems and other forms of controls.
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