{"id":2366,"date":"2026-09-27T08:00:28","date_gmt":"2026-09-27T08:00:28","guid":{"rendered":"https:\/\/www.dobryakov.com\/blog\/2366\/"},"modified":"2026-09-27T08:00:28","modified_gmt":"2026-09-27T08:00:28","slug":"ai-governance-quality-drift-fairness","status":"publish","type":"post","link":"https:\/\/www.dobryakov.com\/blog\/2366\/","title":{"rendered":"AI Quality, Drift &#038; Fairness: \u043a\u0430\u043a \u043c\u043e\u0434\u0435\u043b\u044c \u043d\u0435 \u0434\u0435\u0433\u0440\u0430\u0434\u0438\u0440\u0443\u0435\u0442 \u043f\u043e\u0441\u043b\u0435 \u0430\u043f\u0434\u0435\u0439\u0442\u0430 \u0438 \u043d\u0435 \u0434\u0438\u0441\u043a\u0440\u0438\u043c\u0438\u043d\u0438\u0440\u0443\u0435\u0442 \u043f\u0440\u0438 \u0441\u043a\u043e\u0440\u0438\u043d\u0433\u0435"},"content":{"rendered":"<p>\u041f\u0440\u043e\u0432\u0430\u0439\u0434\u0435\u0440 \u043d\u0435\u0437\u0430\u043c\u0435\u0442\u043d\u043e \u043e\u0431\u043d\u043e\u0432\u0438\u043b \u0431\u0430\u0437\u043e\u0432\u0443\u044e \u043c\u043e\u0434\u0435\u043b\u044c. \u0424\u043e\u0440\u043c\u0430\u043b\u044c\u043d\u043e API \u0442\u043e\u0442 \u0436\u0435, \u0432\u0435\u0440\u0441\u0438\u044f \u2014 \u0442\u0430 \u0436\u0435 \u0441\u0442\u0440\u043e\u043a\u0430, \u043d\u043e \u043f\u043e\u0432\u0435\u0434\u0435\u043d\u0438\u0435 \u0441\u043c\u0435\u0441\u0442\u0438\u043b\u043e\u0441\u044c: \u00ab\u041a\u043e\u0432\u0447\u0435\u0433\u00bb \u0441\u0442\u0430\u043b \u0447\u0443\u0442\u044c \u0447\u0430\u0449\u0435 \u0432\u044b\u0434\u0443\u043c\u044b\u0432\u0430\u0442\u044c \u0443\u0441\u043b\u043e\u0432\u0438\u044f, \u043a\u043e\u0442\u043e\u0440\u044b\u0445 \u043d\u0435\u0442 \u0432 \u0434\u043e\u043a\u0443\u043c\u0435\u043d\u0442\u0430\u0445, \u0438 \u0447\u0443\u0442\u044c \u0441\u0442\u0440\u043e\u0436\u0435 \u043e\u0442\u043d\u043e\u0441\u0438\u0442\u044c\u0441\u044f \u043a \u0437\u0430\u044f\u0432\u043a\u0430\u043c \u0438\u0437 \u043e\u0434\u043d\u043e\u0433\u043e \u0440\u0435\u0433\u0438\u043e\u043d\u0430. \u041d\u0438\u043a\u0442\u043e \u043d\u0438\u0447\u0435\u0433\u043e \u043d\u0435 \u043c\u0435\u043d\u044f\u043b \u0432 \u043a\u043e\u0434\u0435. \u0427\u0435\u0440\u0435\u0437 \u043c\u0435\u0441\u044f\u0446 \u044d\u0442\u043e \u0432\u0441\u043f\u043b\u044b\u0432\u0430\u0435\u0442 \u043a\u0430\u043a \u0440\u043e\u0441\u0442 \u0436\u0430\u043b\u043e\u0431 \u0438 \u0432\u043e\u043f\u0440\u043e\u0441 \u043e\u0442 \u043a\u043e\u043c\u043f\u043b\u0430\u0435\u043d\u0441: \u00ab\u041f\u043e\u0447\u0435\u043c\u0443 \u043e\u0434\u043e\u0431\u0440\u0435\u043d\u0438\u0439 \u043f\u043e \u0440\u0435\u0433\u0438\u043e\u043d\u0443 N \u0441\u0442\u0430\u043b\u043e \u043c\u0435\u043d\u044c\u0448\u0435?\u00bb \u0422\u0430\u043a \u0432\u044b\u0433\u043b\u044f\u0434\u0438\u0442 <strong>\u0442\u0438\u0445\u0430\u044f \u0434\u0435\u0433\u0440\u0430\u0434\u0430\u0446\u0438\u044f<\/strong> \u2014 \u0441\u0430\u043c\u044b\u0439 \u0447\u0430\u0441\u0442\u044b\u0439 \u0441\u043f\u043e\u0441\u043e\u0431, \u043a\u043e\u0442\u043e\u0440\u044b\u043c \u043a\u0430\u0447\u0435\u0441\u0442\u0432\u043e \u0418\u0418-\u0441\u0438\u0441\u0442\u0435\u043c\u044b \u0443\u0445\u043e\u0434\u0438\u0442 \u0431\u0435\u0437 \u0435\u0434\u0438\u043d\u043e\u0433\u043e \u0434\u0435\u043f\u043b\u043e\u044f.<\/p>\n<p><!--more--><\/p>\n<p>\u042d\u0442\u0430 \u0433\u043b\u0430\u0432\u0430 \u2014 \u043f\u0440\u043e <strong>quality plane<\/strong>: \u0433\u0430\u0440\u0430\u043d\u0442\u0438\u044e, \u0447\u0442\u043e \u043c\u043e\u0434\u0435\u043b\u044c \u043d\u0435 \u0434\u0435\u0433\u0440\u0430\u0434\u0438\u0440\u0443\u0435\u0442 \u0441\u043e \u0432\u0440\u0435\u043c\u0435\u043d\u0435\u043c (drift), \u043e\u0442\u0432\u0435\u0442\u044b \u043e\u0441\u0442\u0430\u044e\u0442\u0441\u044f \u0442\u043e\u0447\u043d\u044b\u043c\u0438 \u043f\u0440\u0438 \u043e\u0431\u043d\u043e\u0432\u043b\u0435\u043d\u0438\u0438 \u0431\u0430\u0437\u043e\u0432\u044b\u0445 LLM, \u0430 \u0440\u0435\u0448\u0435\u043d\u0438\u044f \u043d\u0435 \u0434\u0438\u0441\u043a\u0440\u0438\u043c\u0438\u043d\u0438\u0440\u0443\u044e\u0442 (bias). \u0414\u043b\u044f \u00ab\u041a\u043e\u0432\u0447\u0435\u0433\u0430\u00bb \u043f\u0440\u0435\u0434\u0432\u0437\u044f\u0442\u043e\u0441\u0442\u044c \u0432 \u0441\u043a\u043e\u0440\u0438\u043d\u0433\u0435 \u2014 \u043d\u0435 \u043c\u0435\u0442\u0440\u0438\u043a\u0430 \u0432 \u0434\u0430\u0448\u0431\u043e\u0440\u0434\u0435, \u0430 \u043f\u0440\u044f\u043c\u043e\u0435 \u043d\u0430\u0440\u0443\u0448\u0435\u043d\u0438\u0435 AI Act (Art. 10 \u2014 \u043a\u0430\u0447\u0435\u0441\u0442\u0432\u043e \u0434\u0430\u043d\u043d\u044b\u0445, \u043d\u0435\u0434\u0438\u0441\u043a\u0440\u0438\u043c\u0438\u043d\u0430\u0446\u0438\u044f) \u0438 \u044e\u0440\u0438\u0434\u0438\u0447\u0435\u0441\u043a\u0438\u0439 \u0438\u0441\u043a.<\/p>\n<h2>\u0411\u0438\u0437\u043d\u0435\u0441-\u0446\u0435\u043d\u0430<\/h2>\n<p>\u041a\u0430\u0447\u0435\u0441\u0442\u0432\u043e \u0438 \u0441\u043f\u0440\u0430\u0432\u0435\u0434\u043b\u0438\u0432\u043e\u0441\u0442\u044c \u0440\u0435\u0448\u0435\u043d\u0438\u0439 \u00ab\u041a\u043e\u0432\u0447\u0435\u0433\u0430\u00bb \u0438\u0437\u043c\u0435\u0440\u0438\u043c\u044b, \u043e\u0442\u0441\u043b\u0435\u0436\u0438\u0432\u0430\u044e\u0442\u0441\u044f \u043d\u0435\u043f\u0440\u0435\u0440\u044b\u0432\u043d\u043e \u0438 \u044f\u0432\u043b\u044f\u044e\u0442\u0441\u044f \u0433\u0435\u0439\u0442\u043e\u043c \u0440\u0435\u043b\u0438\u0437\u0430. \u041e\u0431\u0435\u0449\u0430\u043d\u0438\u044f \u0431\u0438\u0437\u043d\u0435\u0441\u0443:<\/p>\n<ol>\n<li>\u0410\u043f\u0434\u0435\u0439\u0442 \u043c\u043e\u0434\u0435\u043b\u0438 \u043d\u0435 \u0432\u044b\u0445\u043e\u0434\u0438\u0442 \u0432 \u043f\u0440\u043e\u0434 \u0431\u0435\u0437 \u043f\u0440\u043e\u0445\u043e\u0436\u0434\u0435\u043d\u0438\u044f \u0440\u0435\u0433\u0440\u0435\u0441\u0441\u0438\u0438 \u043d\u0430 \u044d\u0442\u0430\u043b\u043e\u043d\u0430\u0445.<\/li>\n<li>\u0414\u0435\u0433\u0440\u0430\u0434\u0430\u0446\u0438\u044f \u0438 \u0434\u0440\u0435\u0439\u0444 \u043b\u043e\u0432\u044f\u0442\u0441\u044f \u043c\u043e\u043d\u0438\u0442\u043e\u0440\u0438\u043d\u0433\u043e\u043c, \u0430 \u043d\u0435 \u0436\u0430\u043b\u043e\u0431\u0430\u043c\u0438.<\/li>\n<li>\u041e\u0442\u0441\u0443\u0442\u0441\u0442\u0432\u0438\u0435 \u0434\u0435\u043c\u043e\u0433\u0440\u0430\u0444\u0438\u0447\u0435\u0441\u043a\u043e\u0439 \u043f\u0440\u0435\u0434\u0432\u0437\u044f\u0442\u043e\u0441\u0442\u0438 \u0432 \u0441\u043a\u043e\u0440\u0438\u043d\u0433\u0435 \u0434\u043e\u043a\u0430\u0437\u0443\u0435\u043c\u043e.<\/li>\n<\/ol>\n<p>\u0414\u0440\u0430\u0439\u0432\u0435\u0440\u044b \u0436\u0451\u0441\u0442\u043a\u0438\u0435. <strong>Silent degradation<\/strong>: \u043e\u0431\u043d\u043e\u0432\u043b\u0435\u043d\u0438\u0435 \u043c\u043e\u0434\u0435\u043b\u0438 \u00ab\u043f\u043e\u0434 \u043a\u0430\u043f\u043e\u0442\u043e\u043c\u00bb \u043f\u0440\u043e\u0432\u0430\u043b\u0438\u0432\u0430\u0435\u0442 \u043a\u0430\u0447\u0435\u0441\u0442\u0432\u043e \u043d\u0435\u0437\u0430\u043c\u0435\u0442\u043d\u043e. <strong>EU AI Act (high-risk)<\/strong>: Art. 10 (data quality, \u043d\u0435\u0434\u0438\u0441\u043a\u0440\u0438\u043c\u0438\u043d\u0430\u0446\u0438\u044f), Art. 15 (accuracy, robustness), Art. 14 (human oversight). <strong>Bias<\/strong>: \u0441\u0438\u0441\u0442\u0435\u043c\u0430\u0442\u0438\u0447\u0435\u0441\u043a\u0438 \u0445\u0443\u0434\u0448\u0438\u0435 \u0440\u0435\u0448\u0435\u043d\u0438\u044f \u0434\u043b\u044f \u0433\u0440\u0443\u043f\u043f\u044b \u2014 \u0438\u0441\u043a, \u0448\u0442\u0440\u0430\u0444, \u0440\u0435\u043f\u0443\u0442\u0430\u0446\u0438\u044f. <strong>OWASP LLM<\/strong>: LLM09 (Misinformation) \u2014 \u0433\u0430\u043b\u043b\u044e\u0446\u0438\u043d\u0430\u0446\u0438\u0438 \u043a\u0430\u043a \u043a\u043b\u0430\u0441\u0441.<\/p>\n<h2>\u0410\u0440\u0445\u0438\u0442\u0435\u043a\u0442\u0443\u0440\u043d\u044b\u0439 \u043f\u0430\u0442\u0442\u0435\u0440\u043d: Continuous Evaluation &amp; LLM-as-a-Judge Pipeline<\/h2>\n<p>\u041e\u0446\u0435\u043d\u043a\u0430 \u2014 \u043d\u0435\u043f\u0440\u0435\u0440\u044b\u0432\u043d\u044b\u0439 \u043f\u0440\u043e\u0446\u0435\u0441\u0441: \u0440\u0435\u0433\u0440\u0435\u0441\u0441\u0438\u044f \u043d\u0430 golden-\u0434\u0430\u0442\u0430\u0441\u0435\u0442\u0430\u0445 \u0432 CI\/CD + \u043e\u043d\u043b\u0430\u0439\u043d-\u043c\u0435\u0442\u0440\u0438\u043a\u0438 RAG + \u0434\u0440\u0435\u0439\u0444-\u043c\u043e\u043d\u0438\u0442\u043e\u0440\u0438\u043d\u0433 + fairness-\u0442\u0435\u0441\u0442\u044b, \u0441 \u0447\u0435\u0441\u0442\u043d\u043e\u0439 \u043a\u0430\u043b\u0438\u0431\u0440\u043e\u0432\u043a\u043e\u0439 \u0441\u0443\u0434\u044c\u0438.<\/p>\n<p>\u0418\u043d\u0436\u0435\u043d\u0435\u0440\u043d\u044b\u0439 \u0441\u0442\u0435\u043a:<\/p>\n<ul>\n<li><strong>Eval-\u0444\u0440\u0435\u0439\u043c\u0432\u043e\u0440\u043a\u0438<\/strong>: Ragas (v0.2+ \u2014 \u0443\u0436\u0435 \u043d\u0435 \u0442\u043e\u043b\u044c\u043a\u043e RAG, \u043d\u043e \u0438 \u0430\u0433\u0435\u043d\u0442\u043d\u044b\u0435 \u043f\u0430\u0439\u043f\u043b\u0430\u0439\u043d\u044b), DeepEval, TruLens, MLflow (\u044d\u043a\u0441\u043f\u0435\u0440\u0438\u043c\u0435\u043d\u0442\u044b\/\u0440\u0435\u0435\u0441\u0442\u0440).<\/li>\n<li><strong>Drift\/data-quality<\/strong>: Evidently AI, Great Expectations.<\/li>\n<li><strong>Judge<\/strong>: LLM-as-a-judge \u0441 \u043a\u0430\u043b\u0438\u0431\u0440\u043e\u0432\u043a\u043e\u0439 \u043d\u0430 \u0447\u0435\u043b\u043e\u0432\u0435\u0447\u0435\u0441\u043a\u043e\u0439 \u0440\u0430\u0437\u043c\u0435\u0442\u043a\u0435.<\/li>\n<\/ul>\n<h2>\u0428\u0430\u0433 1. Golden Datasets<\/h2>\n<p>\u042d\u0442\u0430\u043b\u043e\u043d\u043d\u044b\u0435 \u043d\u0430\u0431\u043e\u0440\u044b \u043f\u043e\u0434 \u0440\u0435\u0433\u0440\u0435\u0441\u0441\u0438\u044e \u043f\u0440\u043e\u043c\u043f\u0442\u043e\u0432 \u0438 \u043c\u043e\u0434\u0435\u043b\u0435\u0439 \u0432 CI\/CD. \u0410\u043f\u0434\u0435\u0439\u0442 \u043c\u043e\u0434\u0435\u043b\u0438 \u0438\u043b\u0438 \u043f\u0440\u043e\u043c\u043f\u0442\u0430 \u043d\u0435 \u043f\u0440\u043e\u0445\u043e\u0434\u0438\u0442 \u0431\u0435\u0437 \u043f\u0440\u043e\u0433\u043e\u043d\u0430. \u0414\u0430\u0442\u0430\u0441\u0435\u0442 \u0432\u043a\u043b\u044e\u0447\u0430\u0435\u0442 \u00ab\u0442\u0440\u0443\u0434\u043d\u044b\u0435\u00bb \u043a\u0435\u0439\u0441\u044b \u0438 \u043a\u0435\u0439\u0441\u044b \u0438\u0437 \u0440\u0435\u0430\u043b\u044c\u043d\u044b\u0445 \u0438\u043d\u0446\u0438\u0434\u0435\u043d\u0442\u043e\u0432.<\/p>\n<h2>\u0428\u0430\u0433 2. \u041e\u043d\u043b\u0430\u0439\u043d RAG-\u043c\u0435\u0442\u0440\u0438\u043a\u0438<\/h2>\n<p>\u041d\u0430 \u0432\u044b\u0431\u043e\u0440\u043a\u0435 \u043f\u0440\u043e\u0434\u0430\u043a\u0448\u043d-\u0442\u0440\u0430\u0444\u0438\u043a\u0430: <strong>Faithfulness<\/strong> (\u0434\u043e\u0441\u0442\u043e\u0432\u0435\u0440\u043d\u043e\u0441\u0442\u044c \u043a \u043a\u043e\u043d\u0442\u0435\u043a\u0441\u0442\u0443 \u2014 \u043f\u0440\u044f\u043c\u0430\u044f \u0437\u0430\u0449\u0438\u0442\u0430 \u043e\u0442 \u0433\u0430\u043b\u043b\u044e\u0446\u0438\u043d\u0430\u0446\u0438\u0439), <strong>Answer Relevance<\/strong>, <strong>Context Recall\/Precision<\/strong>. \u0421\u0442\u044b\u043a\u0443\u0435\u0442\u0441\u044f \u0441 output-guardrail (\u0433\u043b. 3) \u2014 \u0442\u0430\u043c \u0431\u043b\u043e\u043a \u0432 \u0440\u0435\u0430\u043b\u044c\u043d\u043e\u043c \u0432\u0440\u0435\u043c\u0435\u043d\u0438, \u0437\u0434\u0435\u0441\u044c \u0442\u0440\u0435\u043d\u0434.<\/p>\n<h2>\u0428\u0430\u0433 3. Drift-\u043c\u043e\u043d\u0438\u0442\u043e\u0440\u0438\u043d\u0433<\/h2>\n<p>\u0410\u043d\u043e\u043c\u0430\u043b\u0438\u0438 \u0432 \u0440\u0430\u0441\u043f\u0440\u0435\u0434\u0435\u043b\u0435\u043d\u0438\u0438 \u044d\u043c\u0431\u0435\u0434\u0434\u0438\u043d\u0433\u043e\u0432 \u0432\u0445\u043e\u0434\u044f\u0449\u0438\u0445 \u0437\u0430\u043f\u0440\u043e\u0441\u043e\u0432 (data drift) \u0438 \u0432 \u043a\u0430\u0447\u0435\u0441\u0442\u0432\u0435 \u043e\u0442\u0432\u0435\u0442\u043e\u0432 (concept drift). \u0421\u043c\u0435\u0449\u0435\u043d\u0438\u0435 \u2014 \u0430\u043b\u0435\u0440\u0442. \u0421\u0435\u043c\u0430\u043d\u0442\u0438\u0447\u0435\u0441\u043a\u0438\u0439 \u043a\u044d\u0448 (\u0433\u043b. 5) \u043c\u0430\u0441\u043a\u0438\u0440\u0443\u0435\u0442 \u0434\u0440\u0435\u0439\u0444 \u2014 \u043c\u0435\u0440\u0438\u0442\u044c \u043d\u0430 \u043d\u0435\u043a\u044d\u0448\u0438\u0440\u043e\u0432\u0430\u043d\u043d\u043e\u0439 \u0432\u044b\u0431\u043e\u0440\u043a\u0435.<\/p>\n<h2>\u0428\u0430\u0433 4. Fairness &amp; Bias<\/h2>\n<p>\u0420\u0435\u0433\u0443\u043b\u044f\u0440\u043d\u044b\u0439 \u043f\u0440\u043e\u0433\u043e\u043d \u0441\u0438\u043d\u0442\u0435\u0442\u0438\u0447\u0435\u0441\u043a\u0438\u0445 \u0442\u0435\u0441\u0442\u043e\u0432: \u043f\u0435\u0440\u0435\u0441\u0442\u0430\u043d\u043e\u0432\u043a\u0430 \u0437\u0430\u0449\u0438\u0449\u0451\u043d\u043d\u044b\u0445 \u0430\u0442\u0440\u0438\u0431\u0443\u0442\u043e\u0432 (\u043f\u043e\u043b, \u0432\u043e\u0437\u0440\u0430\u0441\u0442, \u0440\u0435\u0433\u0438\u043e\u043d) \u043f\u0440\u0438 \u043f\u0440\u043e\u0447\u0438\u0445 \u0440\u0430\u0432\u043d\u044b\u0445 \u2014 \u0441\u0440\u0430\u0432\u043d\u0435\u043d\u0438\u0435 \u0440\u0435\u0448\u0435\u043d\u0438\u0439. \u0421\u0438\u0441\u0442\u0435\u043c\u0430\u0442\u0438\u0447\u0435\u0441\u043a\u0430\u044f \u0440\u0430\u0437\u043d\u0438\u0446\u0430 \u2014 \u0441\u0438\u0433\u043d\u0430\u043b bias. \u0414\u043b\u044f \u00ab\u041a\u043e\u0432\u0447\u0435\u0433\u0430\u00bb \u044d\u0442\u043e \u043e\u0431\u044f\u0437\u0430\u0442\u0435\u043b\u044c\u043d\u044b\u0439 \u0433\u0435\u0439\u0442 \u043a\u0440\u0435\u0434\u0438\u0442\u043d\u043e\u0433\u043e \u043c\u043e\u0434\u0443\u043b\u044f.<\/p>\n<h2>\u0428\u0430\u0433 5. Eval-\u0433\u0435\u0439\u0442 \u0440\u0435\u043b\u0438\u0437\u0430<\/h2>\n<p>\u041c\u0435\u0442\u0440\u0438\u043a\u0438 \u2014 \u0447\u0430\u0441\u0442\u044c \u043f\u0430\u0439\u043f\u043b\u0430\u0439\u043d\u0430 (policy-as-code, \u0433\u043b. 6). \u041f\u0430\u0434\u0435\u043d\u0438\u0435 \u043d\u0438\u0436\u0435 \u043f\u043e\u0440\u043e\u0433\u0430 \u0431\u043b\u043e\u043a\u0438\u0440\u0443\u0435\u0442 \u0434\u0435\u043f\u043b\u043e\u0439:<\/p>\n<pre><code class=\"language-yaml\">eval_gate:\n  faithfulness:      {min: 0.92}\n  answer_relevance:  {min: 0.85}\n  fairness_delta:    {max: 0.03}   # \u043c\u0430\u043a\u0441. \u0440\u0430\u0437\u043d\u0438\u0446\u0430 \u0440\u0435\u0448\u0435\u043d\u0438\u0439 \u043f\u0440\u0438 \u043f\u0435\u0440\u0435\u0441\u0442\u0430\u043d\u043e\u0432\u043a\u0435 \u0430\u0442\u0440\u0438\u0431\u0443\u0442\u0430\n  block_release_on_fail: true<\/code><\/pre>\n<h2>\u0413\u0434\u0435 \u043b\u043e\u043c\u0430\u0435\u0442\u0441\u044f<\/h2>\n<p><strong>LLM-as-judge \u0441\u0430\u043c \u043f\u0440\u0435\u0434\u0432\u0437\u044f\u0442 \u0438 \u043d\u0435\u0434\u0435\u0442\u0435\u0440\u043c\u0438\u043d\u0438\u0440\u043e\u0432\u0430\u043d.<\/strong> \u0414\u043e\u043a\u0443\u043c\u0435\u043d\u0442\u0438\u0440\u043e\u0432\u0430\u043d\u043d\u044b\u0435 \u0438\u0441\u043a\u0430\u0436\u0435\u043d\u0438\u044f: verbosity bias (\u0434\u043b\u0438\u043d\u043d\u0435\u0435 = \u00ab\u043b\u0443\u0447\u0448\u0435\u00bb), self-preference (\u0445\u0432\u0430\u043b\u0438\u0442 \u0441\u0432\u043e\u0439 \u0441\u0442\u0438\u043b\u044c), position bias (\u043f\u043e\u0440\u044f\u0434\u043e\u043a \u0432\u0430\u0440\u0438\u0430\u043d\u0442\u043e\u0432). \u041c\u0438\u0442\u0438\u0433\u0430\u0446\u0438\u044f: \u0440\u0430\u043d\u0434\u043e\u043c\u0438\u0437\u0430\u0446\u0438\u044f \u043f\u043e\u0440\u044f\u0434\u043a\u0430, \u0447\u0451\u0442\u043a\u0438\u0435 \u0440\u0443\u0431\u0440\u0438\u043a\u0438, ensemble \u0441\u0443\u0434\u0435\u0439, \u0447\u0435\u043b\u043e\u0432\u0435\u0447\u0435\u0441\u043a\u0430\u044f golden-\u0440\u0430\u0437\u043c\u0435\u0442\u043a\u0430. \u0411\u0435\u0437 \u043a\u0430\u043b\u0438\u0431\u0440\u043e\u0432\u043a\u0438 \u044d\u0442\u043e \u00ab\u043e\u0446\u0435\u043d\u043a\u0430 \u043e\u0446\u0435\u043d\u043a\u0438\u00bb.<\/p>\n<p><strong>\u041a\u0430\u043b\u0438\u0431\u0440\u043e\u0432\u043a\u0430 \u0434\u0440\u0435\u0439\u0444\u0443\u0435\u0442.<\/strong> \u0421\u043e\u0433\u043b\u0430\u0441\u0438\u0435 judge \u0441 \u043b\u044e\u0434\u044c\u043c\u0438, \u0441\u043e\u043b\u0438\u0434\u043d\u043e\u0435 \u043f\u043e\u043b\u0433\u043e\u0434\u0430 \u043d\u0430\u0437\u0430\u0434, \u0443\u0441\u0442\u0430\u0440\u0435\u0432\u0430\u0435\u0442 \u2014 \u043f\u0440\u043e\u043c\u043f\u0442\u044b, \u0434\u0430\u043d\u043d\u044b\u0435, \u0432\u0435\u0440\u0441\u0438\u0438 \u043c\u043e\u0434\u0435\u043b\u0435\u0439 \u043c\u0435\u043d\u044f\u044e\u0442\u0441\u044f. \u0420\u0435\u043a\u0430\u043b\u0438\u0431\u0440\u043e\u0432\u043a\u0430 \u2014 \u0440\u0435\u0433\u0443\u043b\u044f\u0440\u043d\u044b\u0439 \u043f\u0440\u043e\u0446\u0435\u0441\u0441, \u043d\u0435 \u0440\u0430\u0437\u043e\u0432\u044b\u0439.<\/p>\n<p><strong>Golden-\u0434\u0430\u0442\u0430\u0441\u0435\u0442 \u0443\u0441\u0442\u0430\u0440\u0435\u0432\u0430\u0435\u0442.<\/strong> \u041d\u0435 \u043f\u043e\u043a\u0440\u044b\u0432\u0430\u0435\u0442 \u043d\u043e\u0432\u044b\u0435 \u043a\u0435\u0439\u0441\u044b \u2014 \u0437\u0435\u043b\u0451\u043d\u044b\u0435 \u043c\u0435\u0442\u0440\u0438\u043a\u0438 \u043f\u0440\u0438 \u0440\u0435\u0430\u043b\u044c\u043d\u043e\u0439 \u0434\u0435\u0433\u0440\u0430\u0434\u0430\u0446\u0438\u0438. \u0414\u0430\u0442\u0430\u0441\u0435\u0442 \u043f\u043e\u043f\u043e\u043b\u043d\u044f\u0435\u0442\u0441\u044f \u0438\u0437 \u0438\u043d\u0446\u0438\u0434\u0435\u043d\u0442\u043e\u0432 \u0438 \u043f\u0440\u043e\u0434\u0430\u043a\u0448\u043d-\u0442\u0440\u0430\u0444\u0438\u043a\u0430.<\/p>\n<p><strong>Fairness \u0442\u0440\u0443\u0434\u043d\u043e\u043c\u0435\u0442\u0440\u0438\u043c.<\/strong> \u00ab\u0421\u043f\u0440\u0430\u0432\u0435\u0434\u043b\u0438\u0432\u043e\u0441\u0442\u044c\u00bb \u043a\u043e\u043d\u0442\u0435\u043a\u0441\u0442\u043d\u0430; \u043d\u0435\u0441\u043a\u043e\u043b\u044c\u043a\u043e \u0444\u043e\u0440\u043c\u0430\u043b\u044c\u043d\u044b\u0445 \u043c\u0435\u0442\u0440\u0438\u043a fairness \u043c\u0430\u0442\u0435\u043c\u0430\u0442\u0438\u0447\u0435\u0441\u043a\u0438 \u043d\u0435\u0441\u043e\u0432\u043c\u0435\u0441\u0442\u0438\u043c\u044b \u043e\u0434\u043d\u043e\u0432\u0440\u0435\u043c\u0435\u043d\u043d\u043e \u2014 \u0432\u044b\u0431\u043e\u0440 \u043c\u0435\u0442\u0440\u0438\u043a\u0438 \u0441\u0430\u043c \u0442\u0440\u0435\u0431\u0443\u0435\u0442 \u043e\u0431\u043e\u0441\u043d\u043e\u0432\u0430\u043d\u0438\u044f.<\/p>\n<p><strong>\u0421\u0442\u043e\u0438\u043c\u043e\u0441\u0442\u044c.<\/strong> \u041d\u0435\u043f\u0440\u0435\u0440\u044b\u0432\u043d\u0430\u044f judge-\u043e\u0446\u0435\u043d\u043a\u0430 \u0434\u043e\u0440\u043e\u0433\u0430; \u0441\u044d\u043c\u043f\u043b\u0438\u0440\u043e\u0432\u0430\u043d\u0438\u0435 vs \u043f\u043e\u043b\u043d\u043e\u0442\u0430 \u2014 \u043a\u043e\u043c\u043f\u0440\u043e\u043c\u0438\u0441\u0441.<\/p>\n<h2>\u0421\u0442\u0430\u043d\u0434\u0430\u0440\u0442\u044b \u0438 \u043c\u0430\u043f\u043f\u0438\u043d\u0433<\/h2>\n<ul>\n<li><strong>EU AI Act<\/strong>: Art. 10 (data governance\/quality, \u043d\u0435\u0434\u0438\u0441\u043a\u0440\u0438\u043c\u0438\u043d\u0430\u0446\u0438\u044f), Art. 15 (accuracy\/robustness), Art. 14 (human oversight).<\/li>\n<li><strong>ISO\/IEC 42001<\/strong>: \u043c\u043e\u043d\u0438\u0442\u043e\u0440\u0438\u043d\u0433 \u043f\u0440\u043e\u0438\u0437\u0432\u043e\u0434\u0438\u0442\u0435\u043b\u044c\u043d\u043e\u0441\u0442\u0438, \u043d\u0435\u043f\u0440\u0435\u0440\u044b\u0432\u043d\u043e\u0435 \u0443\u043b\u0443\u0447\u0448\u0435\u043d\u0438\u0435.<\/li>\n<li><strong>NIST AI RMF<\/strong>: Measure (valid, reliable, fair, safe).<\/li>\n<li><strong>OWASP LLM<\/strong>: LLM09 (Misinformation).<\/li>\n<\/ul>\n<h2>\u041b\u0430\u0431\u0430 \u0438 \u0430\u0440\u0442\u0435\u0444\u0430\u043a\u0442<\/h2>\n<p>\u0421\u043e\u0431\u0440\u0430\u0442\u044c golden-\u0434\u0430\u0442\u0430\u0441\u0435\u0442 \u0434\u043b\u044f \u00ab\u041a\u043e\u0432\u0447\u0435\u0433\u0430\u00bb (\u0432 \u0442.\u0447. \u043a\u0435\u0439\u0441\u044b-\u0438\u043d\u0446\u0438\u0434\u0435\u043d\u0442\u044b), \u043d\u0430\u0441\u0442\u0440\u043e\u0438\u0442\u044c Ragas-\u043c\u0435\u0442\u0440\u0438\u043a\u0438 \u043e\u043d\u043b\u0430\u0439\u043d, Evidently \u0434\u043b\u044f \u044d\u043c\u0431\u0435\u0434\u0434\u0438\u043d\u0433-\u0434\u0440\u0435\u0439\u0444\u0430 \u043d\u0430 \u043d\u0435\u043a\u044d\u0448\u0438\u0440\u043e\u0432\u0430\u043d\u043d\u043e\u0439 \u0432\u044b\u0431\u043e\u0440\u043a\u0435, fairness-\u0442\u0435\u0441\u0442 \u043f\u0435\u0440\u0435\u0441\u0442\u0430\u043d\u043e\u0432\u043a\u043e\u0439 \u0430\u0442\u0440\u0438\u0431\u0443\u0442\u043e\u0432 \u0434\u043b\u044f \u043a\u0440\u0435\u0434\u0438\u0442\u043d\u043e\u0433\u043e \u043c\u043e\u0434\u0443\u043b\u044f; \u0441\u0434\u0435\u043b\u0430\u0442\u044c eval-\u0433\u0435\u0439\u0442 \u0432 CI; \u043e\u0442\u043a\u0430\u043b\u0438\u0431\u0440\u043e\u0432\u0430\u0442\u044c judge \u043d\u0430 \u0447\u0435\u043b\u043e\u0432\u0435\u0447\u0435\u0441\u043a\u043e\u0439 \u0440\u0430\u0437\u043c\u0435\u0442\u043a\u0435 \u0438 \u0437\u0430\u043c\u0435\u0440\u0438\u0442\u044c agreement. <strong>\u0410\u0440\u0442\u0435\u0444\u0430\u043a\u0442<\/strong>: eval-suite + \u0434\u0430\u0448\u0431\u043e\u0440\u0434 \u043a\u0430\u0447\u0435\u0441\u0442\u0432\u0430\/\u0434\u0440\u0435\u0439\u0444\u0430 + fairness-\u043e\u0442\u0447\u0451\u0442 + \u043e\u0442\u0447\u0451\u0442 \u043a\u0430\u043b\u0438\u0431\u0440\u043e\u0432\u043a\u0438 \u0441\u0443\u0434\u044c\u0438 (\u0434\u043e\u043a\u0430\u0437\u0430\u0442\u0435\u043b\u044c\u0441\u0442\u0432\u043e \u0432 RMS, \u0433\u043b. 6).<\/p>\n<h2>\u0427\u0435\u043a\u043b\u0438\u0441\u0442 \u0437\u0440\u0435\u043b\u043e\u0441\u0442\u0438<\/h2>\n<ul>\n<li><strong>L1<\/strong>: \u0440\u0443\u0447\u043d\u0430\u044f \u043f\u0440\u043e\u0432\u0435\u0440\u043a\u0430 \u043a\u0430\u0447\u0435\u0441\u0442\u0432\u0430 \u043f\u0440\u0438 \u0430\u043f\u0434\u0435\u0439\u0442\u0435.<\/li>\n<li><strong>L2<\/strong>: golden-\u0434\u0430\u0442\u0430\u0441\u0435\u0442 + RAG-\u043c\u0435\u0442\u0440\u0438\u043a\u0438 \u043e\u043d\u043b\u0430\u0439\u043d, drift-\u0430\u043b\u0435\u0440\u0442\u044b.<\/li>\n<li><strong>L3<\/strong>: eval-\u0433\u0435\u0439\u0442 \u0432 CI, \u043a\u0430\u043b\u0438\u0431\u0440\u043e\u0432\u0430\u043d\u043d\u044b\u0439 judge \u0441 \u0440\u0435\u043a\u0430\u043b\u0438\u0431\u0440\u043e\u0432\u043a\u043e\u0439, \u0440\u0435\u0433\u0443\u043b\u044f\u0440\u043d\u044b\u0435 fairness-\u043f\u0440\u043e\u0433\u043e\u043d\u044b, \u0434\u0440\u0435\u0439\u0444 \u043d\u0430 \u043d\u0435\u043a\u044d\u0448\u0438\u0440\u043e\u0432\u0430\u043d\u043d\u043e\u0439 \u0432\u044b\u0431\u043e\u0440\u043a\u0435, \u0441\u0432\u044f\u0437\u043a\u0430 \u0441 RMS (\u0433\u043b. 6).<\/li>\n<\/ul>\n<h2>\u0418\u0441\u0442\u043e\u0447\u043d\u0438\u043a\u0438<\/h2>\n<ul>\n<li><a href=\"https:\/\/deepchecks.com\/llm-judge-calibration-automated-issues\/\">LLM-as-a-Judge calibration: power &amp; limits (Deepchecks)<\/a><\/li>\n<li><a href=\"https:\/\/letsdatascience.com\/blog\/llm-evaluation-ragas-llm-as-judge-and-production-evals\">RAGAS and LLM-as-Judge production evals<\/a><\/li>\n<li><a href=\"https:\/\/arxiv.org\/html\/2602.20379v1\">Case-Aware LLM-as-a-Judge for Enterprise RAG (arXiv)<\/a><\/li>\n<li><a href=\"https:\/\/wandb.ai\/site\/articles\/exploring-llm-as-a-judge\/\">Exploring LLM-as-a-Judge (Weights &amp; Biases)<\/a><\/li>\n<\/ul>\n<hr \/>\n<p>\u041f\u043e\u043b\u043d\u044b\u0439 howto: <a href=\"https:\/\/www.dobryakov.com\/howto\/ai-governance-quality-drift-fairness.html\">https:\/\/www.dobryakov.com\/howto\/ai-governance-quality-drift-fairness.html<\/a><\/p>\n<p>\u0415\u0441\u043b\u0438 \u0432\u0430\u0448 \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u0439 \u0430\u043f\u0434\u0435\u0439\u0442 \u043c\u043e\u0434\u0435\u043b\u0438 \u0432\u044b\u0439\u0434\u0435\u0442 \u0432 \u043f\u0440\u043e\u0434 \u0431\u0435\u0437 eval-\u0433\u0435\u0439\u0442\u0430 \u2014 \u0432\u044b \u0443\u0437\u043d\u0430\u0435\u0442\u0435 \u043e\u0431 \u044d\u0442\u043e\u043c \u043e\u0442 \u044e\u0440\u0438\u0441\u0442\u043e\u0432.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u0422\u0438\u0445\u0430\u044f \u0434\u0435\u0433\u0440\u0430\u0434\u0430\u0446\u0438\u044f \u2014 \u0441\u0430\u043c\u044b\u0439 \u0447\u0430\u0441\u0442\u044b\u0439 \u0441\u043f\u043e\u0441\u043e\u0431 \u043f\u043e\u0442\u0435\u0440\u044f\u0442\u044c \u043a\u0430\u0447\u0435\u0441\u0442\u0432\u043e \u0418\u0418-\u0441\u0438\u0441\u0442\u0435\u043c\u044b \u0431\u0435\u0437 \u0435\u0434\u0438\u043d\u043e\u0433\u043e \u0434\u0435\u043f\u043b\u043e\u044f. Continuous evaluation, LLM-as-judge \u0438 fairness-\u0442\u0435\u0441\u0442\u044b \u043a\u0430\u043a \u0433\u0435\u0439\u0442 \u0440\u0435\u043b\u0438\u0437\u0430.<\/p>\n","protected":false},"author":0,"featured_media":2365,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[276],"tags":[306,308,305,304,307,303],"class_list":["post-2366","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai-governance","tag-bias","tag-continuous-evaluation","tag-fairness","tag-llm-evaluation","tag-llm-as-a-judge","tag-model-drift"],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO 4.9.10 - aioseo.com -->\n\t<meta name=\"description\" content=\"\u041a\u0430\u043a \u043c\u043e\u0434\u0435\u043b\u044c \u043d\u0435 \u0434\u0435\u0433\u0440\u0430\u0434\u0438\u0440\u0443\u0435\u0442 \u043f\u043e\u0441\u043b\u0435 \u0430\u043f\u0434\u0435\u0439\u0442\u0430 \u0438 \u043d\u0435 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