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Last updated: March 15, 2026, 3:38 PM ET

AI & ML Research

A mandatory shift toward human-in-the-loop oversight by 2026 is redefining data governance, emphasizing active metadata and the strategic advantages of European data sovereignty. Concurrently, mastering six advanced causal inference techniques—including doubly robust estimation, instrumental variables, and regression discontinuity—becomes essential for data scientists to derive compliant, actionable insights under these new regulatory frameworks, blending methodological rigor with emerging governance mandates.