Ben Guzovsky works on content policy, risk, and applied AI.
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The traditional train-test split methodology breaks down for complex policy-driven ML tasks requiring expert labels, as expertise bottlenecks, label scarcity, and inherent policy ambiguity make standard validation approaches ineffective.
“Author of "The End of the Train-Test Split" in Personal Blog”