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Latest 2 articles:

An AI Judge Is a Dependency, Not an Oracle

LLM-as-judge evaluation can scale review of open-ended AI output, but only when teams define an inspectable rubric, choose the right judging method, measure bias against human review, and treat the evaluator as a production dependency with privacy and cost constraints.

A Single AI Score Cannot Run a Release Process

Reliable AI releases need an evaluation pipeline that tests every component, keeps rubrics and data versioned, combines deterministic checks with human judgment, analyzes meaningful slices, and monitors product outcomes after deployment.