{"id":98210,"date":"2026-10-04T14:29:39","date_gmt":"2026-10-04T11:29:39","guid":{"rendered":"https:\/\/twodots.gr\/?p=98210"},"modified":"2026-10-04T14:29:41","modified_gmt":"2026-10-04T11:29:41","slug":"explainable-ai-ypsilo-auc-axiopistes-exigiseis","status":"publish","type":"post","link":"https:\/\/twodots.gr\/en\/explainable-ai-ypsilo-auc-axiopistes-exigiseis\/","title":{"rendered":"Explainable AI \u03c5\u03c0\u03cc \u03ad\u03bb\u03b5\u03b3\u03c7\u03bf: \u03b3\u03b9\u03b1\u03c4\u03af \u03c4\u03bf \u03c5\u03c8\u03b7\u03bb\u03cc AUC \u03b4\u03b5\u03bd \u03b5\u03b3\u03b3\u03c5\u03ac\u03c4\u03b1\u03b9 \u03b1\u03be\u03b9\u03cc\u03c0\u03b9\u03c3\u03c4\u03b5\u03c2 \u03b5\u03be\u03b7\u03b3\u03ae\u03c3\u03b5\u03b9\u03c2"},"content":{"rendered":"<div class=\"td-article-lede\">\n<p><strong>Answer first:<\/strong> \u0388\u03bd\u03b1 \u03c5\u03c8\u03b7\u03bb\u03cc AUC \u03b1\u03be\u03b9\u03bf\u03bb\u03bf\u03b3\u03b5\u03af \u03c0\u03cc\u03c3\u03bf \u03ba\u03b1\u03bb\u03ac \u03be\u03b5\u03c7\u03c9\u03c1\u03af\u03b6\u03b5\u03b9 \u03c4\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03c4\u03b9\u03c2 \u03ba\u03bb\u03ac\u03c3\u03b5\u03b9\u03c2\u00b7 \u03b4\u03b5\u03bd \u03b1\u03c0\u03bf\u03b4\u03b5\u03b9\u03ba\u03bd\u03cd\u03b5\u03b9 \u03cc\u03c4\u03b9 \u03b7 \u03b5\u03be\u03ae\u03b3\u03b7\u03c3\u03b7 SHAP \u03ae LIME \u03b5\u03af\u03bd\u03b1\u03b9 \u03c3\u03c4\u03b1\u03b8\u03b5\u03c1\u03ae \u03bf\u03cd\u03c4\u03b5 \u03cc\u03c4\u03b9 \u03c4\u03b1 \u03c7\u03b1\u03c1\u03b1\u03ba\u03c4\u03b7\u03c1\u03b9\u03c3\u03c4\u03b9\u03ba\u03ac \u03c0\u03bf\u03c5 \u03c0\u03c1\u03bf\u03b2\u03ac\u03bb\u03bb\u03b5\u03b9 \u03b5\u03c0\u03b7\u03c1\u03b5\u03ac\u03b6\u03bf\u03c5\u03bd \u03c0\u03c1\u03ac\u03b3\u03bc\u03b1\u03c4\u03b9 \u03c4\u03b7\u03bd \u03c0\u03c1\u03cc\u03b2\u03bb\u03b5\u03c8\u03b7. \u039f \u03ad\u03bb\u03b5\u03b3\u03c7\u03bf\u03c2 Explainable AI \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03be\u03b5\u03c7\u03c9\u03c1\u03b9\u03c3\u03c4\u03ad\u03c2 \u03b4\u03bf\u03ba\u03b9\u03bc\u03ad\u03c2 robustness \u03ba\u03b1\u03b9 fidelity, \u03c0\u03ac\u03bd\u03c9 \u03c3\u03c4\u03bf \u03af\u03b4\u03b9\u03bf model\u2013explainer pair \u03ba\u03b1\u03b9 \u03c3\u03c4\u03b1 \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03b1 \u03c4\u03bf\u03c5 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03bf\u03cd use case.<\/p>\n<\/div>\n<p>\u039f \u03ad\u03bb\u03b5\u03b3\u03c7\u03bf\u03c2 Explainable AI \u03bc\u03b5\u03c4\u03c1\u03ac robustness \u03ba\u03b1\u03b9 fidelity, \u03ce\u03c3\u03c4\u03b5 \u03c5\u03c8\u03b7\u03bb\u03cc AUC, SHAP \u03ae LIME \u03bd\u03b1 \u03bc\u03b7 \u03b8\u03b5\u03c9\u03c1\u03bf\u03cd\u03bd\u03c4\u03b1\u03b9 \u03b1\u03c0\u03cc \u03bc\u03cc\u03bd\u03b1 \u03c4\u03bf\u03c5\u03c2 \u03b1\u03c0\u03cc\u03b4\u03b5\u03b9\u03be\u03b7 \u03b1\u03be\u03b9\u03cc\u03c0\u03b9\u03c3\u03c4\u03b7\u03c2 \u03b5\u03be\u03ae\u03b3\u03b7\u03c3\u03b7\u03c2.<\/p>\n<p>\u039c\u03c0\u03bf\u03c1\u03b5\u03af \u03ad\u03bd\u03b1 \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03c4\u03b5\u03c7\u03bd\u03b7\u03c4\u03ae\u03c2 \u03bd\u03bf\u03b7\u03bc\u03bf\u03c3\u03cd\u03bd\u03b7\u03c2 \u03bd\u03b1 \u03c0\u03c1\u03bf\u03b2\u03bb\u03ad\u03c0\u03b5\u03b9 \u03c3\u03c7\u03b5\u03b4\u03cc\u03bd \u03c4\u03ad\u03bb\u03b5\u03b9\u03b1 \u03ba\u03b1\u03b9 \u03c4\u03b1\u03c5\u03c4\u03cc\u03c7\u03c1\u03bf\u03bd\u03b1 \u03bd\u03b1 \u03b5\u03be\u03b7\u03b3\u03b5\u03af \u03c4\u03b9\u03c2 \u03c0\u03c1\u03bf\u03b2\u03bb\u03ad\u03c8\u03b5\u03b9\u03c2 \u03c4\u03bf\u03c5 \u03bc\u03b5 \u03c4\u03c1\u03cc\u03c0\u03bf \u03b1\u03c3\u03c4\u03b1\u03b8\u03ae \u03ae \u03bf\u03c5\u03c3\u03b9\u03b1\u03c3\u03c4\u03b9\u03ba\u03ac \u03ac\u03c7\u03c1\u03b7\u03c3\u03c4\u03bf; \u0397 \u03b1\u03c0\u03ac\u03bd\u03c4\u03b7\u03c3\u03b7 \u03bc\u03b9\u03b1\u03c2 \u03bd\u03ad\u03b1\u03c2 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7\u03c2 \u03b5\u03af\u03bd\u03b1\u03b9 \u03be\u03b5\u03ba\u03ac\u03b8\u03b1\u03c1\u03b7: \u03bd\u03b1\u03b9. \u03a3\u03b5 \u03c3\u03cd\u03bd\u03bf\u03bb\u03bf \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03c9\u03bd \u03b5\u03c0\u03b9\u03c3\u03b9\u03c4\u03b9\u03c3\u03c4\u03b9\u03ba\u03ae\u03c2 \u03b1\u03c3\u03c6\u03ac\u03bb\u03b5\u03b9\u03b1\u03c2 \u03b1\u03c0\u03cc \u03c4\u03b7 \u039c\u03b1\u03b4\u03b1\u03b3\u03b1\u03c3\u03ba\u03ac\u03c1\u03b7, \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03b1 \u03bc\u03b5 AUC \u03c0\u03ac\u03bd\u03c9 \u03b1\u03c0\u03cc 0,99 \u03c0\u03b1\u03c1\u03ae\u03b3\u03b1\u03b3\u03b1\u03bd \u03b5\u03be\u03b7\u03b3\u03ae\u03c3\u03b5\u03b9\u03c2 \u03c0\u03bf\u03c5 \u03ac\u03bb\u03bb\u03b1\u03b6\u03b1\u03bd \u03bc\u03b5 \u03bc\u03b9\u03ba\u03c1\u03ad\u03c2 \u03b4\u03b9\u03b1\u03c4\u03b1\u03c1\u03b1\u03c7\u03ad\u03c2 \u03ae \u03ad\u03c7\u03b1\u03bd\u03b1\u03bd \u03c4\u03b7\u03bd \u03b9\u03ba\u03b1\u03bd\u03cc\u03c4\u03b7\u03c4\u03b1 \u03bd\u03b1 \u03be\u03b5\u03c7\u03c9\u03c1\u03af\u03b6\u03bf\u03c5\u03bd \u03c0\u03bf\u03b9\u03b1 \u03c7\u03b1\u03c1\u03b1\u03ba\u03c4\u03b7\u03c1\u03b9\u03c3\u03c4\u03b9\u03ba\u03ac \u03b5\u03c0\u03b7\u03c1\u03ad\u03b1\u03b6\u03b1\u03bd \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ac \u03c4\u03b7\u03bd \u03c0\u03c1\u03cc\u03b2\u03bb\u03b5\u03c8\u03b7.<\/p>\n<p>\u03a4\u03bf \u03b5\u03cd\u03c1\u03b7\u03bc\u03b1 \u03b1\u03c6\u03bf\u03c1\u03ac \u03c0\u03bf\u03bb\u03cd \u03c0\u03b5\u03c1\u03b9\u03c3\u03c3\u03cc\u03c4\u03b5\u03c1\u03b1 \u03b1\u03c0\u03cc \u03ad\u03bd\u03b1 \u03b1\u03ba\u03b1\u03b4\u03b7\u03bc\u03b1\u03ca\u03ba\u03cc \u03c0\u03b5\u03af\u03c1\u03b1\u03bc\u03b1. \u0395\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03ae\u03c3\u03b5\u03b9\u03c2 \u03c0\u03bf\u03c5 \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03bf\u03cd\u03bd AI \u03b3\u03b9\u03b1 \u03c0\u03b9\u03c3\u03c4\u03c9\u03c4\u03b9\u03ba\u03cc \u03ba\u03af\u03bd\u03b4\u03c5\u03bd\u03bf, \u03c0\u03c1\u03cc\u03b2\u03bb\u03b5\u03c8\u03b7 \u03b6\u03ae\u03c4\u03b7\u03c3\u03b7\u03c2, \u03c0\u03c1\u03bf\u03c3\u03c9\u03c0\u03bf\u03c0\u03bf\u03af\u03b7\u03c3\u03b7, \u03b1\u03bd\u03af\u03c7\u03bd\u03b5\u03c5\u03c3\u03b7 \u03b1\u03c0\u03ac\u03c4\u03b7\u03c2 \u03ae \u03b9\u03b5\u03c1\u03ac\u03c1\u03c7\u03b7\u03c3\u03b7 leads \u03c3\u03c5\u03c7\u03bd\u03ac \u03c0\u03b1\u03c1\u03bf\u03c5\u03c3\u03b9\u03ac\u03b6\u03bf\u03c5\u03bd \u03ad\u03bd\u03b1 \u03b3\u03c1\u03ac\u03c6\u03b7\u03bc\u03b1 SHAP \u03ae \u03bc\u03b9\u03b1 \u03bb\u03af\u03c3\u03c4\u03b1 \u00ab\u03c3\u03b7\u03bc\u03b1\u03bd\u03c4\u03b9\u03ba\u03ce\u03bd \u03c0\u03b1\u03c1\u03b1\u03b3\u03cc\u03bd\u03c4\u03c9\u03bd\u00bb \u03c9\u03c2 \u03b1\u03c0\u03cc\u03b4\u03b5\u03b9\u03be\u03b7 \u03b4\u03b9\u03b1\u03c6\u03ac\u03bd\u03b5\u03b9\u03b1\u03c2. \u0397 \u03cd\u03c0\u03b1\u03c1\u03be\u03b7 \u03b5\u03be\u03ae\u03b3\u03b7\u03c3\u03b7\u03c2, \u03cc\u03bc\u03c9\u03c2, \u03b4\u03b5\u03bd \u03b9\u03c3\u03bf\u03b4\u03c5\u03bd\u03b1\u03bc\u03b5\u03af \u03bc\u03b5 \u03b1\u03be\u03b9\u03cc\u03c0\u03b9\u03c3\u03c4\u03b7 \u03b5\u03be\u03ae\u03b3\u03b7\u03c3\u03b7. \u0397 \u03af\u03b4\u03b9\u03b1 \u03b7 \u03b5\u03be\u03ae\u03b3\u03b7\u03c3\u03b7 \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 audit.<\/p>\n<aside class=\"td-article-note\"><strong>\u0397 \u03c3\u03c9\u03c3\u03c4\u03ae \u03b1\u03bd\u03ac\u03b3\u03bd\u03c9\u03c3\u03b7:<\/strong> \u03b7 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1 \u03c0\u03b1\u03c1\u03bf\u03c5\u03c3\u03b9\u03ac\u03b6\u03b5\u03b9 \u03ad\u03bd\u03b1 audit framework \u03ba\u03b1\u03b9 \u03ad\u03bd\u03b1 \u03bc\u03b9\u03ba\u03c1\u03cc case study 253 \u03b5\u03b3\u03b3\u03c1\u03b1\u03c6\u03ce\u03bd\u00b7 \u03b4\u03b5\u03bd \u03c0\u03b9\u03c3\u03c4\u03bf\u03c0\u03bf\u03b9\u03b5\u03af \u03ba\u03b1\u03b8\u03bf\u03bb\u03b9\u03ba\u03ac \u03c4\u03bf SHAP, \u03c4\u03bf LIME \u03ae \u03ba\u03ac\u03c0\u03bf\u03b9\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf. \u039f\u03b9 \u03b1\u03c1\u03b9\u03b8\u03bc\u03bf\u03af \u03c4\u03b7\u03c2 \u03b4\u03b5\u03af\u03c7\u03bd\u03bf\u03c5\u03bd failure modes \u03c0\u03bf\u03c5 \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b1\u03bd\u03b1\u03b6\u03b7\u03c4\u03bf\u03cd\u03bd\u03c4\u03b1\u03b9 \u03c3\u03c4\u03bf \u03b5\u03ba\u03ac\u03c3\u03c4\u03bf\u03c4\u03b5 \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03b7\u03c3\u03b9\u03b1\u03ba\u03cc \u03c0\u03b5\u03c1\u03b9\u03b2\u03ac\u03bb\u03bb\u03bf\u03bd.<\/aside>\n<div class=\"td-article-toc\">\n<div class=\"td-toc-title\">Contents<\/div>\n<ul>\n<li><a href=\"#provlepsi-kai-exigisi\">\u0397 \u03ba\u03b1\u03bb\u03ae \u03c0\u03c1\u03cc\u03b2\u03bb\u03b5\u03c8\u03b7 \u03b4\u03b5\u03bd \u03b5\u03b3\u03b3\u03c5\u03ac\u03c4\u03b1\u03b9 \u03b1\u03be\u03b9\u03cc\u03c0\u03b9\u03c3\u03c4\u03b7 \u03b5\u03be\u03ae\u03b3\u03b7\u03c3\u03b7<\/a><\/li>\n<li><a href=\"#architektoniki-audit\">\u0397 \u03b1\u03c1\u03c7\u03b9\u03c4\u03b5\u03ba\u03c4\u03bf\u03bd\u03b9\u03ba\u03ae \u03c4\u03bf\u03c5 Explainable AI audit<\/a><\/li>\n<li><a href=\"#robustness\">Robustness: \u03b1\u03bd\u03c4\u03ad\u03c7\u03b5\u03b9 \u03b7 \u03b5\u03be\u03ae\u03b3\u03b7\u03c3\u03b7 \u03c3\u03b5 \u03bc\u03b9\u03ba\u03c1\u03ae \u03bc\u03b5\u03c4\u03b1\u03b2\u03bf\u03bb\u03ae;<\/a><\/li>\n<li><a href=\"#fidelity\">Fidelity: \u03b5\u03c0\u03b7\u03c1\u03b5\u03ac\u03b6\u03bf\u03c5\u03bd \u03c4\u03b7\u03bd \u03c0\u03c1\u03cc\u03b2\u03bb\u03b5\u03c8\u03b7 \u03c4\u03b1 \u03c3\u03b7\u03bc\u03b1\u03bd\u03c4\u03b9\u03ba\u03ac features;<\/a><\/li>\n<li><a href=\"#madagaskari\">\u03a4\u03bf \u03c0\u03b5\u03af\u03c1\u03b1\u03bc\u03b1 \u03c3\u03c4\u03b7 \u039c\u03b1\u03b4\u03b1\u03b3\u03b1\u03c3\u03ba\u03ac\u03c1\u03b7<\/a><\/li>\n<li><a href=\"#apotelesmata\">\u03a4\u03b9 \u03ad\u03b4\u03b5\u03b9\u03be\u03b1\u03bd AUC, SHAP, LIME \u03ba\u03b1\u03b9 Trust Score<\/a><\/li>\n<li><a href=\"#regularization\">\u0397 regularization \u03b2\u03bf\u03ae\u03b8\u03b7\u03c3\u03b5, \u03b1\u03bb\u03bb\u03ac \u03cc\u03c7\u03b9 \u03c3\u03b1\u03bd \u03bc\u03b1\u03b3\u03b9\u03ba\u03cc \u03c6\u03af\u03bb\u03c4\u03c1\u03bf<\/a><\/li>\n<li><a href=\"#epicheiriseis\">\u03a4\u03b9 \u03c3\u03b7\u03bc\u03b1\u03af\u03bd\u03b5\u03b9 \u03b3\u03b9\u03b1 e-commerce, marketing \u03ba\u03b1\u03b9 support<\/a><\/li>\n<li><a href=\"#praktikos-elegchos\">\u0395\u03c0\u03c4\u03ac \u03b2\u03ae\u03bc\u03b1\u03c4\u03b1 \u03b3\u03b9\u03b1 \u03c3\u03bf\u03b2\u03b1\u03c1\u03cc Explainable AI audit<\/a><\/li>\n<li><a href=\"#oria\">\u03a0\u03b5\u03c1\u03b9\u03bf\u03c1\u03b9\u03c3\u03bc\u03bf\u03af \u03ba\u03b1\u03b9 \u03c0\u03b1\u03b3\u03af\u03b4\u03b5\u03c2 \u03b5\u03c1\u03bc\u03b7\u03bd\u03b5\u03af\u03b1\u03c2<\/a><\/li>\n<li><a href=\"#diakyvernisi\">\u0391\u03c0\u03cc \u03c4\u03bf explainability dashboard \u03c3\u03c4\u03b7 \u03b4\u03b9\u03b1\u03ba\u03c5\u03b2\u03ad\u03c1\u03bd\u03b7\u03c3\u03b7 AI<\/a><\/li>\n<\/ul>\n<\/div>\n<h2 id=\"provlepsi-kai-exigisi\">\u0397 \u03ba\u03b1\u03bb\u03ae \u03c0\u03c1\u03cc\u03b2\u03bb\u03b5\u03c8\u03b7 \u03b4\u03b5\u03bd \u03b5\u03b3\u03b3\u03c5\u03ac\u03c4\u03b1\u03b9 \u03b1\u03be\u03b9\u03cc\u03c0\u03b9\u03c3\u03c4\u03b7 \u03b5\u03be\u03ae\u03b3\u03b7\u03c3\u03b7<\/h2>\n<p>\u039f\u03b9 SHAP \u03ba\u03b1\u03b9 LIME \u03b5\u03af\u03bd\u03b1\u03b9 \u03b1\u03c0\u03cc \u03c4\u03b9\u03c2 \u03c0\u03b9\u03bf \u03b3\u03bd\u03c9\u03c3\u03c4\u03ad\u03c2 \u03c4\u03b5\u03c7\u03bd\u03b9\u03ba\u03ad\u03c2 post-hoc Explainable AI. \u0394\u03b5\u03bd \u03b1\u03bb\u03bb\u03ac\u03b6\u03bf\u03c5\u03bd \u03c4\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03bf\u03cd\u03c4\u03b5 \u03b1\u03c0\u03bf\u03ba\u03b1\u03bb\u03cd\u03c0\u03c4\u03bf\u03c5\u03bd \u03b1\u03bd\u03b1\u03b3\u03ba\u03b1\u03c3\u03c4\u03b9\u03ba\u03ac \u03c4\u03bf\u03bd \u03b5\u03c3\u03c9\u03c4\u03b5\u03c1\u03b9\u03ba\u03cc \u03bc\u03b7\u03c7\u03b1\u03bd\u03b9\u03c3\u03bc\u03cc \u03c4\u03bf\u03c5. \u03a0\u03b1\u03c1\u03b1\u03c4\u03b7\u03c1\u03bf\u03cd\u03bd \u03c4\u03b7 \u03c3\u03c5\u03bc\u03c0\u03b5\u03c1\u03b9\u03c6\u03bf\u03c1\u03ac \u03c4\u03bf\u03c5 \u03ba\u03b1\u03b9 \u03b1\u03c0\u03bf\u03b4\u03af\u03b4\u03bf\u03c5\u03bd \u03b2\u03ac\u03c1\u03b7 \u03c3\u03c4\u03b1 input features, \u03ce\u03c3\u03c4\u03b5 \u03ad\u03bd\u03b1\u03c2 \u03ac\u03bd\u03b8\u03c1\u03c9\u03c0\u03bf\u03c2 \u03bd\u03b1 \u03b4\u03b5\u03b9 \u03c0\u03bf\u03b9\u03bf\u03b9 \u03c0\u03b1\u03c1\u03ac\u03b3\u03bf\u03bd\u03c4\u03b5\u03c2 \u03c6\u03b1\u03af\u03bd\u03b5\u03c4\u03b1\u03b9 \u03bd\u03b1 \u03c3\u03c5\u03bd\u03ad\u03b2\u03b1\u03bb\u03b1\u03bd \u03c3\u03b5 \u03bc\u03b9\u03b1 \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03b7 \u03c0\u03c1\u03cc\u03b2\u03bb\u03b5\u03c8\u03b7.<\/p>\n<p>\u0391\u03c5\u03c4\u03cc \u03b5\u03af\u03bd\u03b1\u03b9 \u03c7\u03c1\u03ae\u03c3\u03b9\u03bc\u03bf \u03bc\u03cc\u03bd\u03bf \u03b1\u03bd \u03b4\u03cd\u03bf \u03c0\u03c1\u03bf\u03cb\u03c0\u03bf\u03b8\u03ad\u03c3\u03b5\u03b9\u03c2 \u03c0\u03b1\u03c1\u03b1\u03bc\u03ad\u03bd\u03bf\u03c5\u03bd \u03b1\u03bb\u03b7\u03b8\u03b9\u03bd\u03ad\u03c2. \u03a0\u03c1\u03ce\u03c4\u03bf\u03bd, \u03bc\u03b9\u03b1 \u03bc\u03b9\u03ba\u03c1\u03ae \u03ba\u03b1\u03b9 \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03b7\u03c3\u03b9\u03b1\u03ba\u03ac \u03b1\u03b4\u03b9\u03ac\u03c6\u03bf\u03c1\u03b7 \u03bc\u03b5\u03c4\u03b1\u03b2\u03bf\u03bb\u03ae \u03c3\u03c4\u03bf input \u03b4\u03b5\u03bd \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b1\u03bd\u03b1\u03c4\u03c1\u03ad\u03c0\u03b5\u03b9 \u03c4\u03b7\u03bd \u03b5\u03be\u03ae\u03b3\u03b7\u03c3\u03b7. \u0394\u03b5\u03cd\u03c4\u03b5\u03c1\u03bf\u03bd, \u03c4\u03b1 \u03c7\u03b1\u03c1\u03b1\u03ba\u03c4\u03b7\u03c1\u03b9\u03c3\u03c4\u03b9\u03ba\u03ac \u03c0\u03bf\u03c5 \u03c7\u03b1\u03c1\u03b1\u03ba\u03c4\u03b7\u03c1\u03af\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 \u03c3\u03b7\u03bc\u03b1\u03bd\u03c4\u03b9\u03ba\u03ac \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03cc\u03bd\u03c4\u03c9\u03c2 \u03bd\u03b1 \u03b5\u03c0\u03b7\u03c1\u03b5\u03ac\u03b6\u03bf\u03c5\u03bd \u03c4\u03bf output \u03c4\u03bf\u03c5 \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf\u03c5. \u039f\u03b9 \u03b5\u03c1\u03b5\u03c5\u03bd\u03b7\u03c4\u03ad\u03c2 \u03bf\u03bd\u03bf\u03bc\u03ac\u03b6\u03bf\u03c5\u03bd \u03c4\u03b9\u03c2 \u03b4\u03cd\u03bf \u03b4\u03b9\u03b1\u03c3\u03c4\u03ac\u03c3\u03b5\u03b9\u03c2 robustness \u03ba\u03b1\u03b9 fidelity \u03b1\u03bd\u03c4\u03af\u03c3\u03c4\u03bf\u03b9\u03c7\u03b1.<\/p>\n<p>\u0397 \u03b4\u03b9\u03ac\u03ba\u03c1\u03b9\u03c3\u03b7 \u03b5\u03af\u03bd\u03b1\u03b9 \u03ba\u03c1\u03af\u03c3\u03b9\u03bc\u03b7. \u0388\u03bd\u03b1 \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03ad\u03c7\u03b5\u03b9 \u03c5\u03c8\u03b7\u03bb\u03ae \u03b1\u03ba\u03c1\u03af\u03b2\u03b5\u03b9\u03b1 \u03c3\u03b5 test set, \u03b1\u03bb\u03bb\u03ac \u03b7 \u03b5\u03be\u03ae\u03b3\u03b7\u03c3\u03ae \u03c4\u03bf\u03c5 \u03bd\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03b5\u03c5\u03b1\u03af\u03c3\u03b8\u03b7\u03c4\u03b7 \u03c3\u03c4\u03bf\u03bd \u03b8\u03cc\u03c1\u03c5\u03b2\u03bf. \u039c\u03c0\u03bf\u03c1\u03b5\u03af \u03b5\u03c0\u03af\u03c3\u03b7\u03c2 \u03bd\u03b1 \u03b4\u03af\u03bd\u03b5\u03b9 \u03bc\u03b9\u03b1 \u03b5\u03bd\u03c4\u03c5\u03c0\u03c9\u03c3\u03b9\u03b1\u03ba\u03ae \u03ba\u03b1\u03c4\u03ac\u03c4\u03b1\u03be\u03b7 \u03c7\u03b1\u03c1\u03b1\u03ba\u03c4\u03b7\u03c1\u03b9\u03c3\u03c4\u03b9\u03ba\u03ce\u03bd, \u03b5\u03bd\u03ce \u03b7 \u03b1\u03c6\u03b1\u03af\u03c1\u03b5\u03c3\u03b7 \u03c4\u03c9\u03bd \u03c5\u03c0\u03bf\u03c4\u03b9\u03b8\u03ad\u03bc\u03b5\u03bd\u03b1 \u03c3\u03b7\u03bc\u03b1\u03bd\u03c4\u03b9\u03ba\u03ce\u03bd \u03bc\u03b5\u03c4\u03b1\u03b2\u03bb\u03b7\u03c4\u03ce\u03bd \u03bd\u03b1 \u03bc\u03b7\u03bd \u03b1\u03bb\u03bb\u03ac\u03b6\u03b5\u03b9 \u03c4\u03b7\u03bd \u03c0\u03c1\u03cc\u03b2\u03bb\u03b5\u03c8\u03b7 \u03bc\u03b5 \u03c4\u03c1\u03cc\u03c0\u03bf \u03c0\u03bf\u03c5 \u03b5\u03c0\u03b9\u03b2\u03b5\u03b2\u03b1\u03b9\u03ce\u03bd\u03b5\u03b9 \u03b1\u03c5\u03c4\u03ae \u03c4\u03b7\u03bd \u03ba\u03b1\u03c4\u03ac\u03c4\u03b1\u03be\u03b7. \u03a4\u03bf performance metric \u03b1\u03be\u03b9\u03bf\u03bb\u03bf\u03b3\u03b5\u03af \u03c4\u03b7\u03bd \u03c0\u03c1\u03cc\u03b2\u03bb\u03b5\u03c8\u03b7\u00b7 \u03b4\u03b5\u03bd \u03c0\u03b9\u03c3\u03c4\u03bf\u03c0\u03bf\u03b9\u03b5\u03af \u03c4\u03b7\u03bd \u03c0\u03bf\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1 \u03c4\u03b7\u03c2 \u03b5\u03c1\u03bc\u03b7\u03bd\u03b5\u03af\u03b1\u03c2.<\/p>\n<p>\u0391\u03c5\u03c4\u03cc\u03c2 \u03b5\u03af\u03bd\u03b1\u03b9 \u03ba\u03b1\u03b9 \u03bf \u03bb\u03cc\u03b3\u03bf\u03c2 \u03c0\u03bf\u03c5 \u03ad\u03bd\u03b1 <a href=\"https:\/\/twodots.gr\/explainable-ai-xronoseires-frameworks\/\">Explainable AI framework \u03b3\u03b9\u03b1 \u03c7\u03c1\u03bf\u03bd\u03bf\u03c3\u03b5\u03b9\u03c1\u03ad\u03c2<\/a> \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b5\u03bb\u03ad\u03b3\u03c7\u03b5\u03b9 \u03c4\u03b7 \u03c3\u03c4\u03b1\u03b8\u03b5\u03c1\u03cc\u03c4\u03b7\u03c4\u03b1 \u03c4\u03b7\u03c2 \u03b5\u03be\u03ae\u03b3\u03b7\u03c3\u03b7\u03c2 \u03ba\u03b1\u03b9 \u03cc\u03c7\u03b9 \u03bc\u03cc\u03bd\u03bf \u03bd\u03b1 \u03c0\u03b1\u03c1\u03ac\u03b3\u03b5\u03b9 \u03ad\u03bd\u03b1 \u03b1\u03ba\u03cc\u03bc\u03b7 visualization. \u0397 \u03bc\u03bf\u03c1\u03c6\u03ae \u03c4\u03b7\u03c2 \u03b5\u03be\u03ae\u03b3\u03b7\u03c3\u03b7\u03c2 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03c6\u03b1\u03af\u03bd\u03b5\u03c4\u03b1\u03b9 \u03c0\u03b5\u03b9\u03c3\u03c4\u03b9\u03ba\u03ae \u03b1\u03ba\u03cc\u03bc\u03b7 \u03ba\u03b1\u03b9 \u03cc\u03c4\u03b1\u03bd \u03c4\u03bf \u03c5\u03c0\u03bf\u03ba\u03b5\u03af\u03bc\u03b5\u03bd\u03bf \u03c3\u03ae\u03bc\u03b1 \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03c3\u03c4\u03b1\u03b8\u03b5\u03c1\u03cc.<\/p>\n<div class=\"td-comparison td-comparison-cards td-comparison-cards--horizontal\">\n<div class=\"td-comparison-grid td-comparison-grid-three\">\n<div class=\"td-platform-card\">\n<p class=\"td-comparison-title\">Predictive performance<\/p>\n<p>\u039c\u03b5\u03c4\u03c1\u03ac \u03b1\u03bd \u03c4\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03c0\u03c1\u03bf\u03b2\u03bb\u03ad\u03c0\u03b5\u03b9 \u03c3\u03c9\u03c3\u03c4\u03ac \u03c3\u03c4\u03bf \u03ba\u03b1\u03c4\u03ac\u03bb\u03bb\u03b7\u03bb\u03bf test set. AUC, precision \u03ba\u03b1\u03b9 recall \u03b4\u03b5\u03bd \u03b1\u03be\u03b9\u03bf\u03bb\u03bf\u03b3\u03bf\u03cd\u03bd \u03b1\u03c0\u03cc \u03bc\u03cc\u03bd\u03b1 \u03c4\u03bf\u03c5\u03c2 \u03c4\u03b7\u03bd \u03b5\u03be\u03ae\u03b3\u03b7\u03c3\u03b7.<\/p>\n<div class=\"td-badge-row\"><span class=\"td-badge\">AUC<\/span><span class=\"td-badge\">Error rates<\/span><\/div>\n<\/div>\n<div class=\"td-platform-card td-platform-card--navy\">\n<p class=\"td-comparison-title\">Robustness<\/p>\n<p>\u0395\u03bb\u03ad\u03b3\u03c7\u03b5\u03b9 \u03b1\u03bd \u03bc\u03b9\u03b1 \u03bc\u03b9\u03ba\u03c1\u03ae, \u03ad\u03b3\u03ba\u03c5\u03c1\u03b7 \u03bc\u03b5\u03c4\u03b1\u03b2\u03bf\u03bb\u03ae \u03c4\u03bf\u03c5 input \u03b1\u03bb\u03bb\u03ac\u03b6\u03b5\u03b9 \u03b4\u03c5\u03c3\u03b1\u03bd\u03ac\u03bb\u03bf\u03b3\u03b1 \u03c4\u03b1 feature importance scores.<\/p>\n<div class=\"td-badge-row\"><span class=\"td-badge\">Perturbations<\/span><span class=\"td-badge\">Stability<\/span><\/div>\n<\/div>\n<div class=\"td-platform-card\">\n<p class=\"td-comparison-title\">Fidelity<\/p>\n<p>\u0395\u03bb\u03ad\u03b3\u03c7\u03b5\u03b9 \u03b1\u03bd \u03c4\u03b1 features \u03c0\u03bf\u03c5 \u03c0\u03c1\u03bf\u03b2\u03ac\u03bb\u03bb\u03b5\u03b9 \u03bf explainer \u03ad\u03c7\u03bf\u03c5\u03bd \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ae \u03b5\u03c0\u03af\u03b4\u03c1\u03b1\u03c3\u03b7 \u03c3\u03c4\u03b7\u03bd \u03ad\u03be\u03bf\u03b4\u03bf \u03c4\u03bf\u03c5 \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03bf\u03c5 \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf\u03c5.<\/p>\n<div class=\"td-badge-row\"><span class=\"td-badge\">Ablation<\/span><span class=\"td-badge\">Model response<\/span><\/div>\n<\/div>\n<\/div>\n<\/div>\n<h2 id=\"architektoniki-audit\">\u0397 \u03b1\u03c1\u03c7\u03b9\u03c4\u03b5\u03ba\u03c4\u03bf\u03bd\u03b9\u03ba\u03ae \u03c4\u03bf\u03c5 Explainable AI audit<\/h2>\n<p>\u03a4\u03bf framework \u03c4\u03c9\u03bd Rosa Elysabeth Ralinirina \u03ba\u03b1\u03b9 \u03c3\u03c5\u03bd\u03b5\u03c1\u03b3\u03b1\u03c4\u03ce\u03bd \u03b1\u03bd\u03c4\u03b9\u03bc\u03b5\u03c4\u03c9\u03c0\u03af\u03b6\u03b5\u03b9 \u03ba\u03ac\u03b8\u03b5 \u03c3\u03c5\u03bd\u03b4\u03c5\u03b1\u03c3\u03bc\u03cc \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf\u03c5 \u03ba\u03b1\u03b9 explainer \u03c3\u03b1\u03bd \u03be\u03b5\u03c7\u03c9\u03c1\u03b9\u03c3\u03c4\u03cc \u03b1\u03bd\u03c4\u03b9\u03ba\u03b5\u03af\u03bc\u03b5\u03bd\u03bf \u03b5\u03bb\u03ad\u03b3\u03c7\u03bf\u03c5. \u0393\u03b9\u03b1 \u03ba\u03ac\u03b8\u03b5 test instance \u03c5\u03c0\u03bf\u03bb\u03bf\u03b3\u03af\u03b6\u03b5\u03b9 \u03b1\u03bd\u03b5\u03be\u03ac\u03c1\u03c4\u03b7\u03c4\u03b1 \u03ad\u03bd\u03b1\u03bd \u03b4\u03b5\u03af\u03ba\u03c4\u03b7 robustness \u03ba\u03b1\u03b9 \u03ad\u03bd\u03b1\u03bd \u03b4\u03b5\u03af\u03ba\u03c4\u03b7 fidelity. \u03a3\u03c4\u03b7 \u03c3\u03c5\u03bd\u03ad\u03c7\u03b5\u03b9\u03b1 \u03c4\u03bf\u03c5\u03c2 \u03c3\u03c5\u03bd\u03b4\u03c5\u03ac\u03b6\u03b5\u03b9 \u03c3\u03b5 \u03ad\u03bd\u03b1 Trust Score, \u03bc\u03b5 \u03b2\u03ac\u03c1\u03b7 \u03c0\u03bf\u03c5 \u03b1\u03b8\u03c1\u03bf\u03af\u03b6\u03bf\u03c5\u03bd \u03c3\u03b5 \u03ad\u03bd\u03b1.<\/p>\n<p>\u0397 \u03c0\u03c1\u03bf\u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ae \u03c4\u03b7\u03c2 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7\u03c2 \u03b4\u03af\u03bd\u03b5\u03b9 \u03af\u03c3\u03bf \u03b2\u03ac\u03c1\u03bf\u03c2 \u03c3\u03c4\u03b9\u03c2 \u03b4\u03cd\u03bf \u03b4\u03b9\u03b1\u03c3\u03c4\u03ac\u03c3\u03b5\u03b9\u03c2: 0,5 \u03c3\u03c4\u03bf robustness \u03ba\u03b1\u03b9 0,5 \u03c3\u03c4\u03bf fidelity. \u0391\u03c5\u03c4\u03cc \u03b4\u03b5\u03bd \u03c0\u03b1\u03c1\u03bf\u03c5\u03c3\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03c9\u03c2 \u03ba\u03b1\u03b8\u03bf\u03bb\u03b9\u03ba\u03ac \u03c3\u03c9\u03c3\u03c4\u03ae \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ae. \u0391\u03bd \u03bc\u03b9\u03b1 \u03b5\u03be\u03ae\u03b3\u03b7\u03c3\u03b7 \u03c0\u03c1\u03bf\u03bf\u03c1\u03af\u03b6\u03b5\u03c4\u03b1\u03b9 \u03b3\u03b9\u03b1 \u03c3\u03c4\u03b1\u03b8\u03b5\u03c1\u03ae \u03b5\u03c0\u03b9\u03ba\u03bf\u03b9\u03bd\u03c9\u03bd\u03af\u03b1 \u03c0\u03c1\u03bf\u03c2 \u03bc\u03b7 \u03c4\u03b5\u03c7\u03bd\u03b9\u03ba\u03bf\u03cd\u03c2 \u03c7\u03c1\u03ae\u03c3\u03c4\u03b5\u03c2, \u03b7 \u03c3\u03c4\u03b1\u03b8\u03b5\u03c1\u03cc\u03c4\u03b7\u03c4\u03b1 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03ad\u03c7\u03b5\u03b9 \u03bc\u03b5\u03b3\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03b7 \u03b2\u03b1\u03c1\u03cd\u03c4\u03b7\u03c4\u03b1. \u03a3\u03b5 \u03ba\u03b1\u03bd\u03bf\u03bd\u03b9\u03c3\u03c4\u03b9\u03ba\u03cc \u03ae \u03b5\u03bb\u03b5\u03b3\u03ba\u03c4\u03b9\u03ba\u03cc \u03c0\u03b5\u03c1\u03b9\u03b2\u03ac\u03bb\u03bb\u03bf\u03bd, \u03b7 \u03c0\u03b9\u03c3\u03c4\u03cc\u03c4\u03b7\u03c4\u03b1 \u03c0\u03c1\u03bf\u03c2 \u03c4\u03b7 \u03c3\u03c5\u03bc\u03c0\u03b5\u03c1\u03b9\u03c6\u03bf\u03c1\u03ac \u03c4\u03bf\u03c5 \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf\u03c5 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c3\u03b7\u03bc\u03b1\u03bd\u03c4\u03b9\u03ba\u03cc\u03c4\u03b5\u03c1\u03b7.<\/p>\n<p>\u0397 \u03b1\u03be\u03af\u03b1 \u03c4\u03b7\u03c2 \u03c0\u03c1\u03bf\u03c3\u03ad\u03b3\u03b3\u03b9\u03c3\u03b7\u03c2 \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03cc\u03c4\u03b9 \u03b5\u03c6\u03b5\u03c5\u03c1\u03af\u03c3\u03ba\u03b5\u03b9 \u03b1\u03c0\u03cc \u03c4\u03b7\u03bd \u03b1\u03c1\u03c7\u03ae \u03c4\u03b9\u03c2 \u03b5\u03c0\u03b9\u03bc\u03ad\u03c1\u03bf\u03c5\u03c2 \u03bc\u03b5\u03c4\u03c1\u03b9\u03ba\u03ad\u03c2. \u0397 Jensen\u2013Shannon divergence \u03ba\u03b1\u03b9 \u03c4\u03bf feature ablation \u03b5\u03af\u03bd\u03b1\u03b9 \u03b3\u03bd\u03c9\u03c3\u03c4\u03ad\u03c2 \u03c4\u03b5\u03c7\u03bd\u03b9\u03ba\u03ad\u03c2. \u0397 \u03c3\u03c5\u03bc\u03b2\u03bf\u03bb\u03ae \u03b5\u03af\u03bd\u03b1\u03b9 \u03cc\u03c4\u03b9 \u03bc\u03c0\u03b1\u03af\u03bd\u03bf\u03c5\u03bd \u03c3\u03b5 \u03bc\u03af\u03b1 \u03ba\u03bf\u03b9\u03bd\u03ae, \u03b5\u03c0\u03b1\u03bd\u03b1\u03bb\u03ae\u03c8\u03b9\u03bc\u03b7 \u03b4\u03b9\u03b1\u03b4\u03b9\u03ba\u03b1\u03c3\u03af\u03b1, \u03c0\u03ac\u03bd\u03c9 \u03c3\u03c4\u03b1 \u03af\u03b4\u03b9\u03b1 \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03b1 \u03ba\u03b1\u03b9 \u03c3\u03c4\u03bf \u03af\u03b4\u03b9\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf, \u03ce\u03c3\u03c4\u03b5 \u03bd\u03b1 \u03b5\u03c0\u03b9\u03c4\u03c1\u03ad\u03c0\u03bf\u03c5\u03bd \u03c3\u03c5\u03b3\u03ba\u03c1\u03af\u03c3\u03b5\u03b9\u03c2 \u03b1\u03bd\u03ac\u03bc\u03b5\u03c3\u03b1 \u03c3\u03b5 model\u2013explainer pairs.<\/p>\n<p>\u0388\u03c4\u03c3\u03b9 \u03b3\u03af\u03bd\u03b5\u03c4\u03b1\u03b9 \u03c0\u03b9\u03bf \u03ba\u03b1\u03b8\u03b1\u03c1\u03ae \u03ba\u03b1\u03b9 \u03b7 \u03bb\u03bf\u03b3\u03bf\u03b4\u03bf\u03c3\u03af\u03b1. \u0391\u03bd \u03b4\u03cd\u03bf \u03bf\u03bc\u03ac\u03b4\u03b5\u03c2 \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03bf\u03cd\u03bd \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03bf\u03cd\u03c2 explainers \u03b3\u03b9\u03b1 \u03c4\u03bf \u03af\u03b4\u03b9\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf, \u03bc\u03c0\u03bf\u03c1\u03bf\u03cd\u03bd \u03bd\u03b1 \u03c3\u03c5\u03b3\u03ba\u03c1\u03af\u03bd\u03bf\u03c5\u03bd \u03cc\u03c7\u03b9 \u03bc\u03cc\u03bd\u03bf \u03c4\u03b7\u03bd \u03b5\u03bc\u03c6\u03ac\u03bd\u03b9\u03c3\u03b7 \u03c4\u03c9\u03bd \u03b3\u03c1\u03b1\u03c6\u03b7\u03bc\u03ac\u03c4\u03c9\u03bd \u03b1\u03bb\u03bb\u03ac \u03ba\u03b1\u03b9 \u03bc\u03b5\u03c4\u03c1\u03ae\u03c3\u03b9\u03bc\u03b5\u03c2 \u03b9\u03b4\u03b9\u03cc\u03c4\u03b7\u03c4\u03b5\u03c2. \u038c\u03c4\u03b1\u03bd \u03b1\u03bb\u03bb\u03ac\u03b6\u03b5\u03b9 \u03b7 \u03ad\u03ba\u03b4\u03bf\u03c3\u03b7 \u03c4\u03bf\u03c5 \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf\u03c5, \u03c4\u03bf audit \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b4\u03b5\u03af\u03be\u03b5\u03b9 \u03b1\u03bd \u03b7 \u03b2\u03b5\u03bb\u03c4\u03af\u03c9\u03c3\u03b7 \u03c3\u03c4\u03b7\u03bd \u03c0\u03c1\u03cc\u03b2\u03bb\u03b5\u03c8\u03b7 \u03c3\u03c5\u03bd\u03bf\u03b4\u03b5\u03cd\u03c4\u03b7\u03ba\u03b5 \u03b1\u03c0\u03cc \u03c5\u03c0\u03bf\u03b2\u03ac\u03b8\u03bc\u03b9\u03c3\u03b7 \u03c4\u03b7\u03c2 \u03c0\u03bf\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1\u03c2 \u03c4\u03c9\u03bd \u03b5\u03be\u03b7\u03b3\u03ae\u03c3\u03b5\u03c9\u03bd. \u03a4\u03bf Trust Score \u03bb\u03b5\u03b9\u03c4\u03bf\u03c5\u03c1\u03b3\u03b5\u03af \u03c9\u03c2 \u03c3\u03c5\u03bd\u03bf\u03c0\u03c4\u03b9\u03ba\u03cc \u03c3\u03ae\u03bc\u03b1, \u03b5\u03bd\u03ce \u03bf\u03b9 \u03b4\u03cd\u03bf \u03c3\u03c5\u03bd\u03b9\u03c3\u03c4\u03ce\u03c3\u03b5\u03c2 \u03ba\u03b1\u03b9 \u03bf\u03b9 \u03ba\u03b1\u03bc\u03c0\u03cd\u03bb\u03b5\u03c2 \u03c0\u03b1\u03c1\u03b1\u03bc\u03ad\u03bd\u03bf\u03c5\u03bd \u03b1\u03c0\u03b1\u03c1\u03b1\u03af\u03c4\u03b7\u03c4\u03b5\u03c2 \u03b3\u03b9\u03b1 \u03b4\u03b9\u03ac\u03b3\u03bd\u03c9\u03c3\u03b7.<\/p>\n<h2 id=\"robustness\">Robustness: \u03b1\u03bd\u03c4\u03ad\u03c7\u03b5\u03b9 \u03b7 \u03b5\u03be\u03ae\u03b3\u03b7\u03c3\u03b7 \u03c3\u03b5 \u03bc\u03b9\u03ba\u03c1\u03ae \u03bc\u03b5\u03c4\u03b1\u03b2\u03bf\u03bb\u03ae;<\/h2>\n<p>\u0393\u03b9\u03b1 \u03c4\u03bf\u03bd \u03ad\u03bb\u03b5\u03b3\u03c7\u03bf robustness, \u03b7 \u03bc\u03b5\u03b8\u03bf\u03b4\u03bf\u03bb\u03bf\u03b3\u03af\u03b1 \u03c0\u03c1\u03bf\u03c3\u03b8\u03ad\u03c4\u03b5\u03b9 \u03bc\u03b9\u03ba\u03c1\u03cc Gaussian \u03b8\u03cc\u03c1\u03c5\u03b2\u03bf \u03c3\u03c4\u03bf input \u03ba\u03b1\u03b9 \u03c3\u03c5\u03b3\u03ba\u03c1\u03af\u03bd\u03b5\u03b9 \u03c4\u03bf \u03b1\u03c1\u03c7\u03b9\u03ba\u03cc \u03b4\u03b9\u03ac\u03bd\u03c5\u03c3\u03bc\u03b1 feature importance \u03bc\u03b5 \u03b5\u03ba\u03b5\u03af\u03bd\u03bf \u03c0\u03bf\u03c5 \u03c0\u03c1\u03bf\u03ba\u03cd\u03c0\u03c4\u03b5\u03b9 \u03bc\u03b5\u03c4\u03ac \u03c4\u03b7 \u03b4\u03b9\u03b1\u03c4\u03b1\u03c1\u03b1\u03c7\u03ae. \u03a4\u03b1 importance vectors \u03ba\u03b1\u03bd\u03bf\u03bd\u03b9\u03ba\u03bf\u03c0\u03bf\u03b9\u03bf\u03cd\u03bd\u03c4\u03b1\u03b9 \u03ba\u03b1\u03b9 \u03b7 \u03b1\u03c0\u03cc\u03c3\u03c4\u03b1\u03c3\u03ae \u03c4\u03bf\u03c5\u03c2 \u03c5\u03c0\u03bf\u03bb\u03bf\u03b3\u03af\u03b6\u03b5\u03c4\u03b1\u03b9 \u03bc\u03b5 Jensen\u2013Shannon divergence. \u0397 \u03b4\u03b9\u03b1\u03b4\u03b9\u03ba\u03b1\u03c3\u03af\u03b1 \u03b5\u03c0\u03b1\u03bd\u03b1\u03bb\u03b1\u03bc\u03b2\u03ac\u03bd\u03b5\u03c4\u03b1\u03b9 \u03ba\u03b1\u03b9 \u03bf \u03c4\u03b5\u03bb\u03b9\u03ba\u03cc\u03c2 \u03b4\u03b5\u03af\u03ba\u03c4\u03b7\u03c2 \u03c0\u03bb\u03b7\u03c3\u03b9\u03ac\u03b6\u03b5\u03b9 \u03c4\u03bf 1 \u03cc\u03c4\u03b1\u03bd \u03bf\u03b9 \u03b5\u03be\u03b7\u03b3\u03ae\u03c3\u03b5\u03b9\u03c2 \u03c0\u03b1\u03c1\u03b1\u03bc\u03ad\u03bd\u03bf\u03c5\u03bd \u03c3\u03c4\u03b1\u03b8\u03b5\u03c1\u03ad\u03c2.<\/p>\n<p>\u0397 \u03b4\u03bf\u03ba\u03b9\u03bc\u03ae \u03b4\u03b5\u03bd \u03bb\u03ad\u03b5\u03b9 \u03cc\u03c4\u03b9 \u03ba\u03ac\u03b8\u03b5 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03cc business input \u03b1\u03ba\u03bf\u03bb\u03bf\u03c5\u03b8\u03b5\u03af Gaussian \u03ba\u03b1\u03c4\u03b1\u03bd\u03bf\u03bc\u03ae. \u0395\u03bb\u03ad\u03b3\u03c7\u03b5\u03b9 \u03bc\u03b9\u03b1 \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03b7 \u03bc\u03bf\u03c1\u03c6\u03ae \u03c4\u03bf\u03c0\u03b9\u03ba\u03ae\u03c2 \u03c3\u03c4\u03b1\u03b8\u03b5\u03c1\u03cc\u03c4\u03b7\u03c4\u03b1\u03c2. \u0397 \u03af\u03b4\u03b9\u03b1 \u03b7 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7 \u03b1\u03bd\u03b1\u03b3\u03bd\u03c9\u03c1\u03af\u03b6\u03b5\u03b9 \u03cc\u03c4\u03b9 \u03ad\u03bd\u03b1 \u03c1\u03b5\u03b1\u03bb\u03b9\u03c3\u03c4\u03b9\u03ba\u03cc \u03c3\u03b5\u03bd\u03ac\u03c1\u03b9\u03bf \u03be\u03b7\u03c1\u03b1\u03c3\u03af\u03b1\u03c2 \u03b4\u03b5\u03bd \u03b9\u03c3\u03bf\u03b4\u03c5\u03bd\u03b1\u03bc\u03b5\u03af \u03bc\u03b5 \u03c4\u03c5\u03c7\u03b1\u03af\u03bf \u03b8\u03cc\u03c1\u03c5\u03b2\u03bf \u03c3\u03c4\u03b7 \u03b2\u03c1\u03bf\u03c7\u03cc\u03c0\u03c4\u03c9\u03c3\u03b7. \u03a3\u03b5 production audit, \u03bf\u03b9 perturbations \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03c0\u03c1\u03bf\u03c3\u03b1\u03c1\u03bc\u03cc\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 \u03c3\u03c4\u03bf\u03c5\u03c2 \u03c0\u03b5\u03c1\u03b9\u03bf\u03c1\u03b9\u03c3\u03bc\u03bf\u03cd\u03c2 \u03c4\u03bf\u03c5 domain \u03ba\u03b1\u03b9 \u03c3\u03c4\u03b9\u03c2 \u03ad\u03b3\u03ba\u03c5\u03c1\u03b5\u03c2 \u03c3\u03c7\u03ad\u03c3\u03b5\u03b9\u03c2 \u03bc\u03b5\u03c4\u03b1\u03be\u03cd \u03bc\u03b5\u03c4\u03b1\u03b2\u03bb\u03b7\u03c4\u03ce\u03bd.<\/p>\n<p>\u03a0\u03c1\u03bf\u03ad\u03ba\u03c5\u03c8\u03b5 \u03ba\u03b1\u03b9 \u03ad\u03bd\u03b1 \u03b1\u03c0\u03bf\u03ba\u03b1\u03bb\u03c5\u03c0\u03c4\u03b9\u03ba\u03cc \u03b1\u03c1\u03b9\u03b8\u03bc\u03b7\u03c4\u03b9\u03ba\u03cc \u03c0\u03c1\u03cc\u03b2\u03bb\u03b7\u03bc\u03b1. \u03a3\u03b5 \u03bf\u03c1\u03b9\u03c3\u03bc\u03ad\u03bd\u03b5\u03c2 \u03c0\u03b5\u03c1\u03b9\u03c0\u03c4\u03ce\u03c3\u03b5\u03b9\u03c2 \u03ad\u03bd\u03b1 \u03c5\u03c0\u03b5\u03c1\u03b2\u03bf\u03bb\u03b9\u03ba\u03ac \u03b2\u03ad\u03b2\u03b1\u03b9\u03bf XGBoost \u03ad\u03ba\u03b1\u03bd\u03b5 \u03c4\u03bf TreeSHAP \u03bd\u03b1 \u03b5\u03c0\u03b9\u03c3\u03c4\u03c1\u03ad\u03c6\u03b5\u03b9 \u03bc\u03b7\u03b4\u03b5\u03bd\u03b9\u03ba\u03ac importance vectors, \u03bc\u03b5 \u03b1\u03c0\u03bf\u03c4\u03ad\u03bb\u03b5\u03c3\u03bc\u03b1 \u03b7 divergence \u03bd\u03b1 \u03bc\u03b7\u03bd \u03bf\u03c1\u03af\u03b6\u03b5\u03c4\u03b1\u03b9. \u039f\u03b9 \u03c3\u03c5\u03b3\u03b3\u03c1\u03b1\u03c6\u03b5\u03af\u03c2 \u03c0\u03c1\u03cc\u03c3\u03b8\u03b5\u03c3\u03b1\u03bd epsilon 10<sup>\u221210<\/sup> \u03c0\u03c1\u03b9\u03bd \u03b1\u03c0\u03cc \u03c4\u03b7\u03bd \u03ba\u03b1\u03bd\u03bf\u03bd\u03b9\u03ba\u03bf\u03c0\u03bf\u03af\u03b7\u03c3\u03b7. \u0397 \u03c4\u03b5\u03c7\u03bd\u03b9\u03ba\u03ae \u03b4\u03b9\u03cc\u03c1\u03b8\u03c9\u03c3\u03b7 \u03b1\u03c0\u03bf\u03c4\u03c1\u03ad\u03c0\u03b5\u03b9 \u03c4\u03b7 \u03b4\u03b9\u03b1\u03af\u03c1\u03b5\u03c3\u03b7 \u03bc\u03b5 \u03c4\u03bf \u03bc\u03b7\u03b4\u03ad\u03bd, \u03b1\u03bb\u03bb\u03ac \u03b4\u03b5\u03bd \u03b5\u03be\u03b1\u03c6\u03b1\u03bd\u03af\u03b6\u03b5\u03b9 \u03c4\u03bf \u03bf\u03c5\u03c3\u03b9\u03b1\u03c3\u03c4\u03b9\u03ba\u03cc \u03b5\u03cd\u03c1\u03b7\u03bc\u03b1: \u03bf explainer \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03bc\u03b7\u03bd \u03c0\u03c1\u03bf\u03c3\u03c6\u03ad\u03c1\u03b5\u03b9 \u03c0\u03bb\u03b7\u03c1\u03bf\u03c6\u03bf\u03c1\u03af\u03b1.<\/p>\n<p>\u0393\u03b9\u03b1 \u03b1\u03c5\u03c4\u03cc \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 perturbations \u03c0\u03bf\u03c5 \u03c0\u03b1\u03c1\u03b1\u03bc\u03ad\u03bd\u03bf\u03c5\u03bd \u03c0\u03ac\u03bd\u03c9 \u03ae \u03ba\u03bf\u03bd\u03c4\u03ac \u03c3\u03c4\u03b7\u03bd \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ae \u03ba\u03b1\u03c4\u03b1\u03bd\u03bf\u03bc\u03ae. \u0397 \u03af\u03b4\u03b9\u03b1 \u03b1\u03c1\u03c7\u03ae \u03b5\u03bc\u03c6\u03b1\u03bd\u03af\u03b6\u03b5\u03c4\u03b1\u03b9 \u03ba\u03b1\u03b9 \u03c3\u03c4\u03bf <a href=\"https:\/\/twodots.gr\/geographic-domain-shift-ai-modelo-se-nees-agores\/\">geographic domain shift<\/a>: \u03bc\u03b9\u03b1 \u03c3\u03c5\u03bc\u03c0\u03b5\u03c1\u03b9\u03c6\u03bf\u03c1\u03ac \u03c0\u03bf\u03c5 \u03c6\u03b1\u03af\u03bd\u03b5\u03c4\u03b1\u03b9 \u03c3\u03c4\u03b1\u03b8\u03b5\u03c1\u03ae \u03c3\u03b5 \u03bc\u03af\u03b1 \u03b1\u03b3\u03bf\u03c1\u03ac \u03b4\u03b5\u03bd \u03bc\u03b5\u03c4\u03b1\u03c6\u03ad\u03c1\u03b5\u03c4\u03b1\u03b9 \u03b1\u03c5\u03c4\u03bf\u03bc\u03ac\u03c4\u03c9\u03c2 \u03c3\u03b5 \u03ac\u03bb\u03bb\u03b7, \u03b1\u03bd \u03b1\u03bb\u03bb\u03ac\u03b6\u03bf\u03c5\u03bd \u03bf\u03b9 \u03c3\u03c7\u03ad\u03c3\u03b5\u03b9\u03c2 \u03bc\u03b5\u03c4\u03b1\u03be\u03cd \u03c4\u03c9\u03bd \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03c9\u03bd.<\/p>\n<h2 id=\"fidelity\">Fidelity: \u03b5\u03c0\u03b7\u03c1\u03b5\u03ac\u03b6\u03bf\u03c5\u03bd \u03c4\u03b7\u03bd \u03c0\u03c1\u03cc\u03b2\u03bb\u03b5\u03c8\u03b7 \u03c4\u03b1 \u03c3\u03b7\u03bc\u03b1\u03bd\u03c4\u03b9\u03ba\u03ac features;<\/h2>\n<p>\u039f \u03ad\u03bb\u03b5\u03b3\u03c7\u03bf\u03c2 fidelity \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03b5\u03af feature ablation. \u0393\u03b9\u03b1 \u03ba\u03ac\u03b8\u03b5 \u03b5\u03be\u03ae\u03b3\u03b7\u03c3\u03b7 \u03b5\u03c0\u03b9\u03bb\u03ad\u03b3\u03b5\u03b9 \u03c4\u03b1 top-k \u03c7\u03b1\u03c1\u03b1\u03ba\u03c4\u03b7\u03c1\u03b9\u03c3\u03c4\u03b9\u03ba\u03ac, \u03c4\u03b1 \u03b1\u03bd\u03c4\u03b9\u03ba\u03b1\u03b8\u03b9\u03c3\u03c4\u03ac \u03bc\u03b5 \u03c4\u03b9\u03c2 \u03bc\u03ad\u03c3\u03b5\u03c2 \u03c4\u03b9\u03bc\u03ad\u03c2 \u03c4\u03bf\u03c5\u03c2 \u03ba\u03b1\u03b9 \u03bc\u03b5\u03c4\u03c1\u03ac \u03c0\u03cc\u03c3\u03bf \u03bc\u03b5\u03c4\u03b1\u03b2\u03ac\u03bb\u03bb\u03b5\u03c4\u03b1\u03b9 \u03b7 \u03c0\u03c1\u03cc\u03b2\u03bb\u03b5\u03c8\u03b7. \u0397 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7 \u03b4\u03bf\u03ba\u03af\u03bc\u03b1\u03c3\u03b5 \u03b1\u03c6\u03b1\u03af\u03c1\u03b5\u03c3\u03b7 3, 5, 10, 41 \u03ba\u03b1\u03b9 82 \u03c7\u03b1\u03c1\u03b1\u03ba\u03c4\u03b7\u03c1\u03b9\u03c3\u03c4\u03b9\u03ba\u03ce\u03bd \u03b1\u03c0\u03cc \u03c3\u03cd\u03bd\u03bf\u03bb\u03bf 83. \u0388\u03c4\u03c3\u03b9 \u03b4\u03b5\u03bd \u03b5\u03be\u03b5\u03c4\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03bc\u03cc\u03bd\u03bf \u03ad\u03bd\u03b1 \u03c3\u03b7\u03bc\u03b5\u03af\u03bf, \u03b1\u03bb\u03bb\u03ac \u03b7 \u03bc\u03bf\u03c1\u03c6\u03ae \u03bf\u03bb\u03cc\u03ba\u03bb\u03b7\u03c1\u03b7\u03c2 \u03c4\u03b7\u03c2 \u03ba\u03b1\u03bc\u03c0\u03cd\u03bb\u03b7\u03c2.<\/p>\n<p>\u039c\u03b9\u03b1 \u03c7\u03c1\u03ae\u03c3\u03b9\u03bc\u03b7 \u03ba\u03b1\u03c4\u03ac\u03c4\u03b1\u03be\u03b7 importance \u03b1\u03bd\u03b1\u03bc\u03ad\u03bd\u03b5\u03c4\u03b1\u03b9 \u03bd\u03b1 \u03b4\u03af\u03bd\u03b5\u03b9 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03bf\u03c0\u03bf\u03b9\u03b7\u03bc\u03ad\u03bd\u03b7 \u03b1\u03c0\u03cc\u03ba\u03c1\u03b9\u03c3\u03b7: \u03cc\u03c4\u03b1\u03bd \u03b1\u03c6\u03b1\u03b9\u03c1\u03bf\u03cd\u03bd\u03c4\u03b1\u03b9 \u03c4\u03b1 \u03ba\u03bf\u03c1\u03c5\u03c6\u03b1\u03af\u03b1 \u03c7\u03b1\u03c1\u03b1\u03ba\u03c4\u03b7\u03c1\u03b9\u03c3\u03c4\u03b9\u03ba\u03ac, \u03c4\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03b8\u03b1 \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b1\u03bd\u03c4\u03b9\u03b4\u03c1\u03ac \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03ac \u03b1\u03c0\u03cc \u03cc,\u03c4\u03b9 \u03cc\u03c4\u03b1\u03bd \u03b1\u03c6\u03b1\u03b9\u03c1\u03bf\u03cd\u03bd\u03c4\u03b1\u03b9 \u03c3\u03c7\u03b5\u03b4\u03cc\u03bd \u03cc\u03bb\u03b1. \u03a3\u03c4\u03bf \u03b1\u03c1\u03c7\u03b9\u03ba\u03cc XGBoost, \u03cc\u03bc\u03c9\u03c2, \u03b7 fidelity \u03b3\u03b9\u03b1 SHAP \u03ad\u03bc\u03b5\u03b9\u03bd\u03b5 \u03c0\u03b5\u03c1\u03af\u03c0\u03bf\u03c5 \u03c3\u03c4\u03bf 0,620 \u03b1\u03c0\u03cc \u03c4\u03b1 3 \u03ad\u03c9\u03c2 \u03c4\u03b1 82 features. \u0393\u03b9\u03b1 LIME \u03ba\u03b9\u03bd\u03ae\u03b8\u03b7\u03ba\u03b5 \u03b5\u03c0\u03af\u03c3\u03b7\u03c2 \u03c0\u03b5\u03c1\u03af\u03c0\u03bf\u03c5 \u03c3\u03c4\u03bf \u03af\u03b4\u03b9\u03bf \u03b5\u03c0\u03af\u03c0\u03b5\u03b4\u03bf. \u0397 \u03b5\u03c0\u03af\u03c0\u03b5\u03b4\u03b7 \u03ba\u03b1\u03bc\u03c0\u03cd\u03bb\u03b7 \u03c3\u03b7\u03bc\u03b1\u03af\u03bd\u03b5\u03b9 \u03cc\u03c4\u03b9 \u03b7 \u03bc\u03b5\u03c4\u03c1\u03b9\u03ba\u03ae \u03b4\u03b5\u03bd \u03bc\u03c0\u03bf\u03c1\u03bf\u03cd\u03c3\u03b5 \u03bd\u03b1 \u03b4\u03b9\u03b1\u03ba\u03c1\u03af\u03bd\u03b5\u03b9 \u03ba\u03b1\u03bb\u03ae \u03b1\u03c0\u03cc \u03ba\u03b1\u03ba\u03ae \u03ba\u03b1\u03c4\u03ac\u03c4\u03b1\u03be\u03b7.<\/p>\n<p>\u0391\u03c5\u03c4\u03cc \u03b4\u03b5\u03bd \u03b1\u03c0\u03bf\u03b4\u03b5\u03b9\u03ba\u03bd\u03cd\u03b5\u03b9 \u03cc\u03c4\u03b9 \u03ba\u03ac\u03b8\u03b5 XGBoost \u03ae \u03ba\u03ac\u03b8\u03b5 SHAP \u03b5\u03af\u03bd\u03b1\u03b9 \u03b1\u03bd\u03b1\u03be\u03b9\u03cc\u03c0\u03b9\u03c3\u03c4\u03bf. \u03a0\u03b5\u03c1\u03b9\u03b3\u03c1\u03ac\u03c6\u03b5\u03b9 \u03c4\u03b7 \u03c3\u03c5\u03bc\u03c0\u03b5\u03c1\u03b9\u03c6\u03bf\u03c1\u03ac \u03c4\u03bf\u03c5 \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03bf\u03c5 \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf\u03c5 \u03c3\u03c4\u03bf \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03bf \u03bc\u03b9\u03ba\u03c1\u03cc dataset. \u0394\u03b5\u03af\u03c7\u03bd\u03b5\u03b9 \u03cc\u03bc\u03c9\u03c2 \u03ad\u03bd\u03b1 \u03b3\u03b5\u03bd\u03b9\u03ba\u03cc failure mode \u03c0\u03bf\u03c5 \u03b1\u03be\u03af\u03b6\u03b5\u03b9 \u03bd\u03b1 \u03b1\u03bd\u03b1\u03b6\u03b7\u03c4\u03b5\u03af\u03c4\u03b1\u03b9: \u03b7 \u03c5\u03c0\u03b5\u03c1\u03b2\u03bf\u03bb\u03b9\u03ba\u03ae \u03b2\u03b5\u03b2\u03b1\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1 \u03c4\u03bf\u03c5 predictor \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03c3\u03c5\u03bc\u03c0\u03b9\u03ad\u03c3\u03b5\u03b9 \u03c4\u03b7 \u03bc\u03b5\u03c4\u03b1\u03b2\u03bf\u03bb\u03ae \u03c4\u03bf\u03c5 output \u03ba\u03b1\u03b9 \u03bd\u03b1 \u03ba\u03ac\u03bd\u03b5\u03b9 \u03c4\u03bf\u03bd \u03ad\u03bb\u03b5\u03b3\u03c7\u03bf fidelity \u03bc\u03b7 \u03b4\u03b9\u03b1\u03ba\u03c1\u03b9\u03c4\u03b9\u03ba\u03cc.<\/p>\n<aside class=\"td-article-note\"><strong>\u03a0\u03c1\u03b1\u03ba\u03c4\u03b9\u03ba\u03cc \u03c3\u03ae\u03bc\u03b1 \u03ba\u03b9\u03bd\u03b4\u03cd\u03bd\u03bf\u03c5:<\/strong> \u03b1\u03bd \u03b7 \u03b1\u03c6\u03b1\u03af\u03c1\u03b5\u03c3\u03b7 3 \u03ba\u03b1\u03b9 82 \u03b1\u03c0\u03cc \u03c4\u03b1 83 \u03ba\u03bf\u03c1\u03c5\u03c6\u03b1\u03af\u03b1 features \u03c0\u03b1\u03c1\u03ac\u03b3\u03b5\u03b9 \u03c3\u03c7\u03b5\u03b4\u03cc\u03bd \u03c4\u03b7\u03bd \u03af\u03b4\u03b9\u03b1 \u03bc\u03b5\u03c4\u03b1\u03b2\u03bf\u03bb\u03ae, \u03c4\u03bf \u03c5\u03c8\u03b7\u03bb\u03cc fidelity point estimate \u03b4\u03b5\u03bd \u03b1\u03c1\u03ba\u03b5\u03af. \u0397 \u03bf\u03bc\u03ac\u03b4\u03b1 \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b4\u03b5\u03b9 \u03bf\u03bb\u03cc\u03ba\u03bb\u03b7\u03c1\u03b7 \u03c4\u03b7\u03bd \u03ba\u03b1\u03bc\u03c0\u03cd\u03bb\u03b7, \u03c4\u03b7\u03bd \u03ba\u03b1\u03c4\u03b1\u03bd\u03bf\u03bc\u03ae \u03b1\u03bd\u03ac instance \u03ba\u03b1\u03b9 \u03b1\u03bd \u03c4\u03bf ablation \u03b4\u03b7\u03bc\u03b9\u03bf\u03c5\u03c1\u03b3\u03b5\u03af \u03bc\u03b7 \u03c1\u03b5\u03b1\u03bb\u03b9\u03c3\u03c4\u03b9\u03ba\u03ac \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03b1.<\/aside>\n<h2 id=\"madagaskari\">\u03a4\u03bf \u03c0\u03b5\u03af\u03c1\u03b1\u03bc\u03b1 \u03c3\u03c4\u03b7 \u039c\u03b1\u03b4\u03b1\u03b3\u03b1\u03c3\u03ba\u03ac\u03c1\u03b7<\/h2>\n<p>\u03a4\u03bf case study \u03b2\u03b1\u03c3\u03af\u03c3\u03c4\u03b7\u03ba\u03b5 \u03c3\u03b5 \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03b1 \u03b1\u03c0\u03cc 23 \u03c0\u03b5\u03c1\u03b9\u03c6\u03ad\u03c1\u03b5\u03b9\u03b5\u03c2 \u03c4\u03b7\u03c2 \u039c\u03b1\u03b4\u03b1\u03b3\u03b1\u03c3\u03ba\u03ac\u03c1\u03b7\u03c2 \u03b3\u03b9\u03b1 \u03c4\u03b1 \u03ad\u03c4\u03b7 2010\u20132023. \u039c\u03b5\u03c4\u03ac \u03c4\u03bf preprocessing, \u03c4\u03bf dataset \u03b5\u03af\u03c7\u03b5 253 \u03b5\u03b3\u03b3\u03c1\u03b1\u03c6\u03ad\u03c2, 83 features \u03ba\u03b1\u03b9 \u03c4\u03ad\u03c3\u03c3\u03b5\u03c1\u03b9\u03c2 \u03ba\u03bb\u03ac\u03c3\u03b5\u03b9\u03c2 \u03c7\u03c1\u03cc\u03bd\u03b9\u03b1\u03c2 \u03b4\u03c5\u03c3\u03b8\u03c1\u03b5\u03c8\u03af\u03b1\u03c2. \u03a4\u03b1 features \u03ba\u03ac\u03bb\u03c5\u03c0\u03c4\u03b1\u03bd \u03ba\u03bb\u03af\u03bc\u03b1, \u03b3\u03b5\u03c9\u03c1\u03b3\u03af\u03b1, \u03ba\u03bf\u03b9\u03bd\u03c9\u03bd\u03b9\u03ba\u03bf\u03bf\u03b9\u03ba\u03bf\u03bd\u03bf\u03bc\u03b9\u03ba\u03ad\u03c2 \u03c3\u03c5\u03bd\u03b8\u03ae\u03ba\u03b5\u03c2, \u03b4\u03b9\u03b1\u03c4\u03c1\u03bf\u03c6\u03ae \u03ba\u03b1\u03b9 \u03b4\u03b7\u03bc\u03bf\u03b3\u03c1\u03b1\u03c6\u03af\u03b1.<\/p>\n<p>\u0397 \u03ba\u03b1\u03c4\u03b1\u03bd\u03bf\u03bc\u03ae \u03c4\u03c9\u03bd \u03ba\u03bb\u03ac\u03c3\u03b5\u03c9\u03bd \u03ae\u03c4\u03b1\u03bd \u03ad\u03bd\u03c4\u03bf\u03bd\u03b1 \u03b1\u03bd\u03b9\u03c3\u03cc\u03c1\u03c1\u03bf\u03c0\u03b7: \u03bc\u03cc\u03bd\u03bf 3 \u03b5\u03b3\u03b3\u03c1\u03b1\u03c6\u03ad\u03c2 \u03c3\u03c4\u03b7\u03bd \u03ba\u03b1\u03c4\u03b7\u03b3\u03bf\u03c1\u03af\u03b1 Acceptable, 85 \u03c3\u03c4\u03b7\u03bd Precarious, 114 \u03c3\u03c4\u03b7\u03bd Alarming \u03ba\u03b1\u03b9 51 \u03c3\u03c4\u03b7\u03bd Critical. \u03a4\u03bf train\/test split \u03ae\u03c4\u03b1\u03bd 82\/18, \u03b4\u03b7\u03bb\u03b1\u03b4\u03ae 208 training \u03ba\u03b1\u03b9 45 test instances. \u0395\u03be\u03b1\u03b9\u03c4\u03af\u03b1\u03c2 \u03c4\u03b7\u03c2 \u03c3\u03c0\u03ac\u03bd\u03b9\u03b1\u03c2 \u03ba\u03bb\u03ac\u03c3\u03b7\u03c2, \u03b7 \u03c0\u03c1\u03bf\u03b3\u03c1\u03b1\u03bc\u03bc\u03b1\u03c4\u03b9\u03c3\u03bc\u03ad\u03bd\u03b7 stratified 5-fold cross-validation \u03ad\u03b4\u03c9\u03c3\u03b5 \u03bc\u03cc\u03bd\u03bf 3 \u03ad\u03b3\u03ba\u03c5\u03c1\u03b1 folds \u03c0\u03bf\u03c5 \u03c0\u03b5\u03c1\u03b9\u03b5\u03af\u03c7\u03b1\u03bd \u03cc\u03bb\u03b5\u03c2 \u03c4\u03b9\u03c2 \u03ba\u03bb\u03ac\u03c3\u03b5\u03b9\u03c2.<\/p>\n<p>\u0394\u03bf\u03ba\u03b9\u03bc\u03ac\u03c3\u03c4\u03b7\u03ba\u03b1\u03bd Random Forest, XGBoost \u03ba\u03b1\u03b9 neural network, \u03bc\u03b1\u03b6\u03af \u03bc\u03b5 regularized \u03b5\u03ba\u03b4\u03bf\u03c7\u03ad\u03c2 \u03c4\u03bf\u03c5\u03c2. \u039f\u03b9 \u03b5\u03be\u03b7\u03b3\u03ae\u03c3\u03b5\u03b9\u03c2 \u03c0\u03c1\u03bf\u03ae\u03bb\u03b8\u03b1\u03bd \u03b1\u03c0\u03cc SHAP \u03ba\u03b1\u03b9 LIME. \u03a4\u03bf audit \u03b5\u03ba\u03c4\u03b5\u03bb\u03ad\u03c3\u03c4\u03b7\u03ba\u03b5 \u03c3\u03b5 30 \u03c4\u03c5\u03c7\u03b1\u03af\u03b1 test instances, \u03bc\u03b5 10 perturbations \u03b1\u03bd\u03ac instance \u03ba\u03b1\u03b9 \u03b8\u03cc\u03c1\u03c5\u03b2\u03bf sigma 0,1. \u03a0\u03c1\u03cc\u03ba\u03b5\u03b9\u03c4\u03b1\u03b9 \u03b3\u03b9\u03b1 \u03c7\u03c1\u03ae\u03c3\u03b9\u03bc\u03b7 \u03b1\u03c0\u03cc\u03b4\u03b5\u03b9\u03be\u03b7 \u03bc\u03b5\u03b8\u03bf\u03b4\u03bf\u03bb\u03bf\u03b3\u03af\u03b1\u03c2, \u03cc\u03c7\u03b9 \u03b3\u03b9\u03b1 \u03ba\u03b1\u03b8\u03bf\u03bb\u03b9\u03ba\u03ae \u03c0\u03b9\u03c3\u03c4\u03bf\u03c0\u03bf\u03af\u03b7\u03c3\u03b7 \u03c4\u03c9\u03bd \u03b5\u03c1\u03b3\u03b1\u03bb\u03b5\u03af\u03c9\u03bd.<\/p>\n<div class=\"td-chart td-chart--metrics\">\n<div class=\"td-chart-head\">\n<p class=\"td-chart-kicker\">\u03a4\u03b5\u03ba\u03bc\u03b7\u03c1\u03b9\u03c9\u03bc\u03ad\u03bd\u03bf scope<\/p>\n<p class=\"td-chart-title\">\u03a4\u03ad\u03c3\u03c3\u03b5\u03c1\u03b1 \u03bc\u03b5\u03b3\u03ad\u03b8\u03b7 \u03c4\u03bf\u03c5 \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03bf\u03c5 \u03c0\u03b5\u03b9\u03c1\u03ac\u03bc\u03b1\u03c4\u03bf\u03c2<\/p>\n<p class=\"td-chart-intro\">\u039f\u03b9 \u03b1\u03c1\u03b9\u03b8\u03bc\u03bf\u03af \u03c0\u03b5\u03c1\u03b9\u03b3\u03c1\u03ac\u03c6\u03bf\u03c5\u03bd \u03c4\u03bf dataset \u03ba\u03b1\u03b9 \u03c4\u03b7 \u03b4\u03b9\u03b1\u03b4\u03b9\u03ba\u03b1\u03c3\u03af\u03b1 \u03c4\u03b7\u03c2 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1\u03c2. \u0394\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 benchmarks \u03b1\u03b3\u03bf\u03c1\u03ac\u03c2, \u03c0\u03bf\u03c3\u03bf\u03c3\u03c4\u03ac \u03b5\u03c0\u03b9\u03c4\u03c5\u03c7\u03af\u03b1\u03c2 \u03ae \u03c5\u03c0\u03bf\u03c3\u03c7\u03ad\u03c3\u03b5\u03b9\u03c2 \u03b3\u03b9\u03b1 \u03ac\u03bb\u03bb\u03bf \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03b7\u03c3\u03b9\u03b1\u03ba\u03cc \u03c3\u03cd\u03c3\u03c4\u03b7\u03bc\u03b1.<\/p>\n<\/div>\n<div class=\"td-metric-grid\">\n<div class=\"td-metric-card\"><span class=\"td-metric-value\">253 \u03b5\u03b3\u03b3\u03c1\u03b1\u03c6\u03ad\u03c2<\/span><span class=\"td-metric-label\">\u03a0\u03b1\u03c1\u03b1\u03c4\u03b7\u03c1\u03ae\u03c3\u03b5\u03b9\u03c2 \u03b1\u03c0\u03cc 23 \u03c0\u03b5\u03c1\u03b9\u03c6\u03ad\u03c1\u03b5\u03b9\u03b5\u03c2 \u03b3\u03b9\u03b1 \u03c4\u03b1 \u03ad\u03c4\u03b7 2010\u20132023<\/span><\/div>\n<div class=\"td-metric-card\"><span class=\"td-metric-value\">83 features<\/span><span class=\"td-metric-label\">\u039a\u03bb\u03b9\u03bc\u03b1\u03c4\u03b9\u03ba\u03ac, \u03b3\u03b5\u03c9\u03c1\u03b3\u03b9\u03ba\u03ac, \u03ba\u03bf\u03b9\u03bd\u03c9\u03bd\u03b9\u03ba\u03bf\u03bf\u03b9\u03ba\u03bf\u03bd\u03bf\u03bc\u03b9\u03ba\u03ac \u03ba\u03b1\u03b9 \u03b4\u03b7\u03bc\u03bf\u03b3\u03c1\u03b1\u03c6\u03b9\u03ba\u03ac \u03c7\u03b1\u03c1\u03b1\u03ba\u03c4\u03b7\u03c1\u03b9\u03c3\u03c4\u03b9\u03ba\u03ac<\/span><\/div>\n<div class=\"td-metric-card\"><span class=\"td-metric-value\">3 \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03b1<\/span><span class=\"td-metric-label\">Random Forest, XGBoost \u03ba\u03b1\u03b9 neural network, \u03c0\u03c1\u03b9\u03bd \u03ba\u03b1\u03b9 \u03bc\u03b5\u03c4\u03ac \u03c4\u03b7 regularization<\/span><\/div>\n<div class=\"td-metric-card\"><span class=\"td-metric-value\">2 explainers<\/span><span class=\"td-metric-label\">SHAP \u03ba\u03b1\u03b9 LIME \u03b5\u03bb\u03ad\u03b3\u03c7\u03b8\u03b7\u03ba\u03b1\u03bd \u03c3\u03c4\u03bf \u03af\u03b4\u03b9\u03bf auditing protocol<\/span><\/div>\n<\/div>\n<\/div>\n<h2 id=\"apotelesmata\">\u03a4\u03b9 \u03ad\u03b4\u03b5\u03b9\u03be\u03b1\u03bd AUC, SHAP, LIME \u03ba\u03b1\u03b9 Trust Score<\/h2>\n<p>\u03a4\u03b1 \u03c4\u03c1\u03af\u03b1 \u03b1\u03c1\u03c7\u03b9\u03ba\u03ac \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03b1 \u03c0\u03ad\u03c4\u03c5\u03c7\u03b1\u03bd test AUC \u03c0\u03ac\u03bd\u03c9 \u03b1\u03c0\u03cc 0,99: 0,999 \u03b3\u03b9\u03b1 Random Forest, 0,992 \u03b3\u03b9\u03b1 XGBoost \u03ba\u03b1\u03b9 0,999 \u03b3\u03b9\u03b1 neural network. \u03a4\u03b1 cross-validation \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03ad\u03c3\u03bc\u03b1\u03c4\u03b1 \u03c3\u03c4\u03b1 \u03c4\u03c1\u03af\u03b1 \u03ad\u03b3\u03ba\u03c5\u03c1\u03b1 folds \u03c0\u03b1\u03c1\u03ad\u03bc\u03b5\u03b9\u03bd\u03b1\u03bd \u03b5\u03c0\u03af\u03c3\u03b7\u03c2 \u03c5\u03c8\u03b7\u03bb\u03ac. \u03a9\u03c3\u03c4\u03cc\u03c3\u03bf, \u03b7 \u03b5\u03be\u03b7\u03b3\u03b7\u03c3\u03b9\u03bc\u03cc\u03c4\u03b7\u03c4\u03b1 \u03b4\u03b5\u03bd \u03b1\u03ba\u03bf\u03bb\u03bf\u03cd\u03b8\u03b7\u03c3\u03b5 \u03b1\u03c5\u03c4\u03cc\u03bc\u03b1\u03c4\u03b1 \u03c4\u03b7\u03bd \u03af\u03b4\u03b9\u03b1 \u03b5\u03b9\u03ba\u03cc\u03bd\u03b1.<\/p>\n<p>\u03a3\u03c4\u03b1 tree-based \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03b1, \u03c4\u03bf SHAP \u03ae\u03c4\u03b1\u03bd \u03c0\u03b9\u03bf robust \u03b1\u03c0\u03cc \u03c4\u03bf LIME. \u0393\u03b9\u03b1 Random Forest \u03bf\u03b9 \u03c4\u03b9\u03bc\u03ad\u03c2 \u03ae\u03c4\u03b1\u03bd 0,902 \u03ad\u03bd\u03b1\u03bd\u03c4\u03b9 0,700, \u03b5\u03bd\u03ce \u03b3\u03b9\u03b1 XGBoost 0,978 \u03ad\u03bd\u03b1\u03bd\u03c4\u03b9 0,658. \u03a3\u03c4\u03bf neural network \u03b7 \u03c3\u03c7\u03ad\u03c3\u03b7 \u03b1\u03bd\u03c4\u03b9\u03c3\u03c4\u03c1\u03ac\u03c6\u03b7\u03ba\u03b5 \u03b5\u03bb\u03b1\u03c6\u03c1\u03ac: 0,694 \u03b3\u03b9\u03b1 SHAP \u03ba\u03b1\u03b9 0,738 \u03b3\u03b9\u03b1 LIME. \u039f\u03b9 \u03c3\u03c5\u03b3\u03b3\u03c1\u03b1\u03c6\u03b5\u03af\u03c2 \u03b1\u03c0\u03bf\u03b4\u03af\u03b4\u03bf\u03c5\u03bd \u03c9\u03c2 \u03c0\u03b9\u03b8\u03b1\u03bd\u03ae \u03b5\u03be\u03ae\u03b3\u03b7\u03c3\u03b7 \u03c4\u03b7 \u03b4\u03b5\u03b9\u03b3\u03bc\u03b1\u03c4\u03bf\u03bb\u03b7\u03c0\u03c4\u03b9\u03ba\u03ae \u03bc\u03b5\u03c4\u03b1\u03b2\u03bb\u03b7\u03c4\u03cc\u03c4\u03b7\u03c4\u03b1 \u03c4\u03bf\u03c5 KernelSHAP, \u03b1\u03bb\u03bb\u03ac \u03c4\u03b7 \u03b4\u03b9\u03b1\u03c4\u03c5\u03c0\u03ce\u03bd\u03bf\u03c5\u03bd \u03c9\u03c2 \u03b5\u03c1\u03bc\u03b7\u03bd\u03b5\u03af\u03b1 \u03ba\u03b1\u03b9 \u03cc\u03c7\u03b9 \u03c9\u03c2 \u03b1\u03bd\u03b5\u03be\u03ac\u03c1\u03c4\u03b7\u03c4\u03b1 \u03b1\u03c0\u03bf\u03b4\u03b5\u03b4\u03b5\u03b9\u03b3\u03bc\u03ad\u03bd\u03b7 \u03b1\u03b9\u03c4\u03af\u03b1.<\/p>\n<p>\u03a4\u03bf \u03b9\u03c3\u03c7\u03c5\u03c1\u03cc\u03c4\u03b5\u03c1\u03bf \u03c3\u03c5\u03bd\u03bf\u03bb\u03b9\u03ba\u03cc Trust Score \u03ae\u03c4\u03b1\u03bd 0,871 \u03b3\u03b9\u03b1 regularized Random Forest \u03bc\u03b5 SHAP. \u03a4\u03bf \u03c7\u03b1\u03bc\u03b7\u03bb\u03cc\u03c4\u03b5\u03c1\u03bf \u03ae\u03c4\u03b1\u03bd 0,640 \u03b3\u03b9\u03b1 \u03c4\u03bf \u03b1\u03c1\u03c7\u03b9\u03ba\u03cc XGBoost \u03bc\u03b5 LIME. \u0397 regularization \u03b2\u03b5\u03bb\u03c4\u03af\u03c9\u03c3\u03b5 \u03c4\u03bf Trust Score \u03ba\u03b1\u03b9 \u03c3\u03c4\u03bf\u03c5\u03c2 \u03ad\u03be\u03b9 \u03c3\u03c5\u03b3\u03ba\u03c1\u03b9\u03bd\u03cc\u03bc\u03b5\u03bd\u03bf\u03c5\u03c2 \u03c3\u03c5\u03bd\u03b4\u03c5\u03b1\u03c3\u03bc\u03bf\u03cd\u03c2. \u03a0\u03b1\u03c1\u2019 \u03cc\u03bb\u03b1 \u03b1\u03c5\u03c4\u03ac, \u03ad\u03bd\u03b1\u03c2 \u03b5\u03bd\u03b9\u03b1\u03af\u03bf\u03c2 \u03b1\u03c1\u03b9\u03b8\u03bc\u03cc\u03c2 \u03ba\u03c1\u03cd\u03b2\u03b5\u03b9 \u03bc\u03ad\u03c1\u03bf\u03c2 \u03c4\u03b7\u03c2 \u03c0\u03bb\u03b7\u03c1\u03bf\u03c6\u03bf\u03c1\u03af\u03b1\u03c2: \u03c4\u03bf score \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b4\u03b9\u03b1\u03b2\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03bc\u03b1\u03b6\u03af \u03bc\u03b5 robustness, fidelity curves, uncertainty intervals \u03ba\u03b1\u03b9 failure logs.<\/p>\n<p>\u0397 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1 \u03b1\u03bd\u03b1\u03c6\u03ad\u03c1\u03b5\u03b9 95% bootstrap intervals \u03b1\u03c0\u03cc 10 \u03b5\u03c0\u03b1\u03bd\u03b1\u03bb\u03ae\u03c8\u03b5\u03b9\u03c2 \u03b3\u03b9\u03b1 \u03c4\u03b1 Trust Scores. \u0391\u03c5\u03c4\u03ae \u03b7 \u03b1\u03b2\u03b5\u03b2\u03b1\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1 \u03ad\u03c7\u03b5\u03b9 \u03c3\u03b7\u03bc\u03b1\u03c3\u03af\u03b1, \u03b9\u03b4\u03af\u03c9\u03c2 \u03cc\u03c4\u03b1\u03bd \u03b7 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03ac \u03bc\u03b5\u03c4\u03b1\u03be\u03cd \u03b4\u03cd\u03bf \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ce\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03bc\u03b9\u03ba\u03c1\u03ae. \u0397 \u03b1\u03c0\u03cc\u03c6\u03b1\u03c3\u03b7 \u03b4\u03b5\u03bd \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b2\u03b1\u03c3\u03af\u03b6\u03b5\u03c4\u03b1\u03b9 \u03c3\u03c4\u03bf \u03b4\u03b5\u03cd\u03c4\u03b5\u03c1\u03bf \u03ae \u03c4\u03c1\u03af\u03c4\u03bf \u03b4\u03b5\u03ba\u03b1\u03b4\u03b9\u03ba\u03cc \u03c7\u03c9\u03c1\u03af\u03c2 \u03ad\u03bb\u03b5\u03b3\u03c7\u03bf \u03c4\u03b7\u03c2 \u03c0\u03c1\u03b1\u03ba\u03c4\u03b9\u03ba\u03ae\u03c2 \u03b5\u03c0\u03af\u03b4\u03c1\u03b1\u03c3\u03b7\u03c2 \u03c3\u03c4\u03bf \u03b4\u03b9\u03ba\u03cc \u03bc\u03b1\u03c2 use case.<\/p>\n<h2 id=\"regularization\">\u0397 regularization \u03b2\u03bf\u03ae\u03b8\u03b7\u03c3\u03b5, \u03b1\u03bb\u03bb\u03ac \u03cc\u03c7\u03b9 \u03c3\u03b1\u03bd \u03bc\u03b1\u03b3\u03b9\u03ba\u03cc \u03c6\u03af\u03bb\u03c4\u03c1\u03bf<\/h2>\n<p>\u0397 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7 \u03c3\u03c5\u03bd\u03ad\u03ba\u03c1\u03b9\u03bd\u03b5 \u03c4\u03b9\u03c2 \u03b1\u03c1\u03c7\u03b9\u03ba\u03ad\u03c2 \u03b5\u03ba\u03b4\u03cc\u03c3\u03b5\u03b9\u03c2 \u03bc\u03b5 \u03c0\u03b9\u03bf \u03c0\u03b5\u03c1\u03b9\u03bf\u03c1\u03b9\u03c3\u03bc\u03ad\u03bd\u03b1 \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03b1: \u03bc\u03b9\u03ba\u03c1\u03cc\u03c4\u03b5\u03c1\u03bf \u03b2\u03ac\u03b8\u03bf\u03c2 \u03ba\u03b1\u03b9 \u03c0\u03b5\u03c1\u03b9\u03c3\u03c3\u03cc\u03c4\u03b5\u03c1\u03b1 trees \u03b3\u03b9\u03b1 \u03c4\u03bf Random Forest, \u03bc\u03b9\u03ba\u03c1\u03cc\u03c4\u03b5\u03c1\u03bf \u03b2\u03ac\u03b8\u03bf\u03c2 \u03ba\u03b1\u03b9 learning rate \u03bc\u03b5 lambda 2 \u03b3\u03b9\u03b1 XGBoost, \u03ba\u03b1\u03b8\u03ce\u03c2 \u03ba\u03b1\u03b9 dropout 0,3, weight decay 10<sup>\u22124<\/sup> \u03ba\u03b1\u03b9 early stopping \u03b3\u03b9\u03b1 \u03c4\u03bf neural network.<\/p>\n<p>\u03a3\u03c4\u03bf regularized Random Forest \u03ba\u03b1\u03b9 \u03c3\u03c4\u03bf regularized XGBoost, \u03b7 AUC \u03b4\u03b5\u03bd \u03c5\u03c0\u03bf\u03c7\u03ce\u03c1\u03b7\u03c3\u03b5 \u03bf\u03c5\u03c3\u03b9\u03b1\u03c3\u03c4\u03b9\u03ba\u03ac: 0,994 \u03ba\u03b1\u03b9 0,997 \u03b1\u03bd\u03c4\u03af\u03c3\u03c4\u03bf\u03b9\u03c7\u03b1. \u03a3\u03c4\u03bf neural network \u03ad\u03c0\u03b5\u03c3\u03b5 \u03b1\u03c0\u03cc 0,999 \u03c3\u03b5 0,888, \u03ad\u03bd\u03b1 \u03c4\u03af\u03bc\u03b7\u03bc\u03b1 \u03c0\u03bf\u03c5 \u03bf\u03b9 \u03c3\u03c5\u03b3\u03b3\u03c1\u03b1\u03c6\u03b5\u03af\u03c2 \u03c3\u03c5\u03bd\u03b4\u03ad\u03bf\u03c5\u03bd \u03bc\u03b5 \u03c4\u03b7\u03bd \u03b5\u03c0\u03b9\u03b8\u03b5\u03c4\u03b9\u03ba\u03ae regularization \u03c0\u03ac\u03bd\u03c9 \u03c3\u03b5 \u03bc\u03cc\u03bb\u03b9\u03c2 208 training examples. \u03a4\u03b1\u03c5\u03c4\u03cc\u03c7\u03c1\u03bf\u03bd\u03b1, \u03c4\u03bf regularized neural network \u03ad\u03b4\u03c9\u03c3\u03b5 \u03c0\u03bf\u03bb\u03cd \u03c0\u03b9\u03bf \u03b4\u03b9\u03b1\u03ba\u03c1\u03b9\u03c4\u03b9\u03ba\u03ae \u03ba\u03b1\u03bc\u03c0\u03cd\u03bb\u03b7 LIME fidelity, \u03b1\u03c0\u03cc 0,977 \u03c3\u03c4\u03b1 3 \u03b1\u03c6\u03b1\u03b9\u03c1\u03b5\u03bc\u03ad\u03bd\u03b1 features \u03ad\u03c9\u03c2 0,802 \u03c3\u03c4\u03b1 82.<\/p>\n<p>\u0393\u03b9\u03b1 \u03bc\u03b9\u03b1 \u03bf\u03bc\u03ac\u03b4\u03b1 ML \u03c4\u03bf \u03bc\u03ac\u03b8\u03b7\u03bc\u03b1 \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u00ab\u03b2\u03ac\u03bb\u03b5 \u03c0\u03b5\u03c1\u03b9\u03c3\u03c3\u03cc\u03c4\u03b5\u03c1\u03b7 regularization\u00bb. \u0395\u03af\u03bd\u03b1\u03b9 \u03bd\u03b1 \u03b1\u03be\u03b9\u03bf\u03bb\u03bf\u03b3\u03b5\u03af \u03bc\u03b1\u03b6\u03af predictive performance, calibration \u03ae overconfidence \u03ba\u03b1\u03b9 \u03c0\u03bf\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1 \u03b5\u03be\u03b7\u03b3\u03ae\u03c3\u03b5\u03c9\u03bd. \u0388\u03bd\u03b1 trade-off \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03b1\u03c0\u03bf\u03b4\u03b5\u03ba\u03c4\u03cc \u03ae \u03cc\u03c7\u03b9 \u03b1\u03bd\u03ac\u03bb\u03bf\u03b3\u03b1 \u03bc\u03b5 \u03c4\u03bf use case. \u03a3\u03b5 \u03b5\u03c5\u03b1\u03af\u03c3\u03b8\u03b7\u03c4\u03b5\u03c2 \u03b1\u03c0\u03bf\u03c6\u03ac\u03c3\u03b5\u03b9\u03c2, \u03bc\u03b9\u03b1 \u03bc\u03b9\u03ba\u03c1\u03cc\u03c4\u03b5\u03c1\u03b7 \u03b5\u03c0\u03af\u03b4\u03bf\u03c3\u03b7 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b1\u03be\u03af\u03b6\u03b5\u03b9 \u03b1\u03bd \u03b7 \u03c3\u03c5\u03bc\u03c0\u03b5\u03c1\u03b9\u03c6\u03bf\u03c1\u03ac \u03b3\u03af\u03bd\u03b5\u03c4\u03b1\u03b9 \u03c0\u03b9\u03bf \u03b5\u03bb\u03ad\u03b3\u03be\u03b9\u03bc\u03b7\u00b7 \u03b1\u03bb\u03bb\u03bf\u03cd, \u03b7 \u03c0\u03c4\u03ce\u03c3\u03b7 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c5\u03c0\u03b5\u03c1\u03b2\u03bf\u03bb\u03b9\u03ba\u03ae.<\/p>\n<p>\u0397 \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ae \u03b8\u03c5\u03bc\u03af\u03b6\u03b5\u03b9 \u03c4\u03b1 <a href=\"https:\/\/twodots.gr\/rail-ai-4-erotimata-prin-tin-paragogi\/\">\u03c4\u03ad\u03c3\u03c3\u03b5\u03c1\u03b1 \u03b5\u03c1\u03c9\u03c4\u03ae\u03bc\u03b1\u03c4\u03b1 \u03c0\u03c1\u03b9\u03bd \u03b1\u03c0\u03cc \u03c4\u03b7\u03bd \u03c0\u03b1\u03c1\u03b1\u03b3\u03c9\u03b3\u03ae \u03b5\u03bd\u03cc\u03c2 AI \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf\u03c5<\/a>: \u03c4\u03b9 \u03b1\u03ba\u03c1\u03b9\u03b2\u03ce\u03c2 \u03bc\u03b5\u03c4\u03c1\u03ae\u03b8\u03b7\u03ba\u03b5, \u03b3\u03b9\u03b1 \u03c0\u03bf\u03b9\u03bf\u03bd \u03c7\u03c1\u03ae\u03c3\u03c4\u03b7, \u03bc\u03b5 \u03c0\u03bf\u03b9\u03bf \u03ba\u03cc\u03c3\u03c4\u03bf\u03c2 \u03bb\u03ac\u03b8\u03bf\u03c5\u03c2 \u03ba\u03b1\u03b9 \u03c0\u03bf\u03b9\u03b1 \u03b4\u03b9\u03b1\u03b4\u03b9\u03ba\u03b1\u03c3\u03af\u03b1 \u03b1\u03bd\u03b1\u03bb\u03b1\u03bc\u03b2\u03ac\u03bd\u03b5\u03b9 \u03cc\u03c4\u03b1\u03bd \u03b7 \u03ad\u03bd\u03b4\u03b5\u03b9\u03be\u03b7 \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03b1\u03c1\u03ba\u03b5\u03c4\u03ae.<\/p>\n<h2 id=\"epicheiriseis\">\u03a4\u03b9 \u03c3\u03b7\u03bc\u03b1\u03af\u03bd\u03b5\u03b9 \u03b3\u03b9\u03b1 e-commerce, marketing \u03ba\u03b1\u03b9 support<\/h2>\n<p>\u03a3\u03c4\u03bf e-commerce, \u03ad\u03bd\u03b1 \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b1\u03c0\u03bf\u03c6\u03b1\u03c3\u03af\u03b6\u03b5\u03b9 \u03c0\u03bf\u03b9\u03bf\u03bd \u03c0\u03b5\u03bb\u03ac\u03c4\u03b7 \u03b8\u03b1 \u03c3\u03c4\u03bf\u03c7\u03b5\u03cd\u03c3\u03b5\u03b9 \u03bc\u03b9\u03b1 \u03ba\u03b1\u03bc\u03c0\u03ac\u03bd\u03b9\u03b1, \u03c0\u03bf\u03b9\u03b1 \u03c0\u03b1\u03c1\u03b1\u03b3\u03b3\u03b5\u03bb\u03af\u03b1 \u03c6\u03b1\u03af\u03bd\u03b5\u03c4\u03b1\u03b9 \u03cd\u03c0\u03bf\u03c0\u03c4\u03b7 \u03ae \u03c0\u03bf\u03b9\u03bf \u03c0\u03c1\u03bf\u03ca\u03cc\u03bd \u03b8\u03b1 \u03b5\u03bc\u03c6\u03b1\u03bd\u03b9\u03c3\u03c4\u03b5\u03af \u03c0\u03c1\u03ce\u03c4\u03bf. \u0388\u03bd\u03b1 dashboard \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b1\u03bd\u03b1\u03c6\u03ad\u03c1\u03b5\u03b9 \u03cc\u03c4\u03b9 \u03b7 \u00ab\u03c4\u03b9\u03bc\u03ae\u00bb, \u03b7 \u00ab\u03c3\u03c5\u03c7\u03bd\u03cc\u03c4\u03b7\u03c4\u03b1 \u03b1\u03b3\u03bf\u03c1\u03ac\u03c2\u00bb \u03ae \u03b7 \u00ab\u03c0\u03b7\u03b3\u03ae traffic\u00bb \u03ae\u03c4\u03b1\u03bd \u03ba\u03b1\u03b8\u03bf\u03c1\u03b9\u03c3\u03c4\u03b9\u03ba\u03bf\u03af \u03c0\u03b1\u03c1\u03ac\u03b3\u03bf\u03bd\u03c4\u03b5\u03c2. \u03a7\u03c9\u03c1\u03af\u03c2 robustness test, \u03b4\u03b5\u03bd \u03b3\u03bd\u03c9\u03c1\u03af\u03b6\u03bf\u03c5\u03bc\u03b5 \u03b1\u03bd \u03bc\u03b9\u03b1 \u03bc\u03b9\u03ba\u03c1\u03ae \u03bc\u03b5\u03c4\u03b1\u03b2\u03bf\u03bb\u03ae \u03c3\u03c4\u03b1 \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03b1 \u03b1\u03bb\u03bb\u03ac\u03b6\u03b5\u03b9 \u03c1\u03b9\u03b6\u03b9\u03ba\u03ac \u03b1\u03c5\u03c4\u03ae \u03c4\u03b7\u03bd \u03b9\u03c3\u03c4\u03bf\u03c1\u03af\u03b1.<\/p>\n<p>\u03a7\u03c9\u03c1\u03af\u03c2 fidelity test, \u03b4\u03b5\u03bd \u03b3\u03bd\u03c9\u03c1\u03af\u03b6\u03bf\u03c5\u03bc\u03b5 \u03b1\u03bd \u03b7 \u03ba\u03b1\u03c4\u03ac\u03c4\u03b1\u03be\u03b7 \u03c4\u03c9\u03bd factors \u03b1\u03bd\u03c4\u03b1\u03bd\u03b1\u03ba\u03bb\u03ac \u03c4\u03b7 \u03c3\u03c5\u03bc\u03c0\u03b5\u03c1\u03b9\u03c6\u03bf\u03c1\u03ac \u03c4\u03bf\u03c5 \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf\u03c5. \u0391\u03bd \u03b7 marketing \u03bf\u03bc\u03ac\u03b4\u03b1 \u03b1\u03bb\u03bb\u03ac\u03be\u03b5\u03b9 budget \u03b5\u03c0\u03b5\u03b9\u03b4\u03ae \u03ad\u03bd\u03b1\u03c2 explainer \u03c7\u03b1\u03c1\u03b1\u03ba\u03c4\u03ae\u03c1\u03b9\u03c3\u03b5 \u03ad\u03bd\u03b1 \u03ba\u03b1\u03bd\u03ac\u03bb\u03b9 \u00ab\u03c3\u03b7\u03bc\u03b1\u03bd\u03c4\u03b9\u03ba\u03cc\u00bb, \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03b1\u03c0\u03cc\u03b4\u03b5\u03b9\u03be\u03b7 \u03cc\u03c4\u03b9 \u03b7 \u03b1\u03c6\u03b1\u03af\u03c1\u03b5\u03c3\u03b7 \u03ae \u03bc\u03b5\u03c4\u03b1\u03b2\u03bf\u03bb\u03ae \u03b1\u03c5\u03c4\u03bf\u03cd \u03c4\u03bf\u03c5 feature \u03ad\u03c7\u03b5\u03b9 \u03c3\u03c5\u03bd\u03b5\u03c0\u03ae \u03c3\u03c7\u03ad\u03c3\u03b7 \u03bc\u03b5 \u03c4\u03bf output. \u0394\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03ac, \u03b7 \u03b5\u03be\u03ae\u03b3\u03b7\u03c3\u03b7 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b4\u03b7\u03bc\u03b9\u03bf\u03c5\u03c1\u03b3\u03ae\u03c3\u03b5\u03b9 \u03c8\u03b5\u03c5\u03b4\u03ae \u03b1\u03c5\u03c4\u03bf\u03c0\u03b5\u03c0\u03bf\u03af\u03b8\u03b7\u03c3\u03b7. \u0397 \u03b4\u03b9\u03ac\u03ba\u03c1\u03b9\u03c3\u03b7 \u03b1\u03c0\u03cc \u03c4\u03b7\u03bd \u03b1\u03b9\u03c4\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1 \u03c0\u03b1\u03c1\u03b1\u03bc\u03ad\u03bd\u03b5\u03b9 \u03b5\u03c0\u03af\u03c3\u03b7\u03c2 \u03bf\u03c5\u03c3\u03b9\u03ce\u03b4\u03b7\u03c2, \u03cc\u03c0\u03c9\u03c2 \u03b4\u03b5\u03af\u03c7\u03bd\u03b5\u03b9 \u03b7 <a href=\"https:\/\/twodots.gr\/causal-ai-stin-praxi-giati-i-syschetisi-den-arkei-gia-epicheirimatikes-apofaseis\/\">Causal AI \u03c3\u03c4\u03b9\u03c2 \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03b7\u03bc\u03b1\u03c4\u03b9\u03ba\u03ad\u03c2 \u03b1\u03c0\u03bf\u03c6\u03ac\u03c3\u03b5\u03b9\u03c2<\/a>.<\/p>\n<p>\u0397 \u03c0\u03c1\u03b1\u03ba\u03c4\u03b9\u03ba\u03ae \u03b5\u03c6\u03b1\u03c1\u03bc\u03bf\u03b3\u03ae \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 domain-specific. \u03a3\u03c4\u03b1 \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03b1 \u03c0\u03b5\u03bb\u03b1\u03c4\u03ce\u03bd, \u03ad\u03b3\u03ba\u03c5\u03c1\u03b5\u03c2 perturbations \u03af\u03c3\u03c9\u03c2 \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b4\u03b9\u03b1\u03c4\u03b7\u03c1\u03bf\u03cd\u03bd \u03bb\u03bf\u03b3\u03b9\u03ba\u03ad\u03c2 \u03c3\u03c7\u03ad\u03c3\u03b5\u03b9\u03c2 \u03bc\u03b5\u03c4\u03b1\u03be\u03cd \u03b7\u03bb\u03b9\u03ba\u03af\u03b1\u03c2 \u03bb\u03bf\u03b3\u03b1\u03c1\u03b9\u03b1\u03c3\u03bc\u03bf\u03cd, \u03b1\u03c1\u03b9\u03b8\u03bc\u03bf\u03cd \u03c0\u03b1\u03c1\u03b1\u03b3\u03b3\u03b5\u03bb\u03b9\u03ce\u03bd \u03ba\u03b1\u03b9 \u03c3\u03c5\u03bd\u03bf\u03bb\u03b9\u03ba\u03ae\u03c2 \u03b1\u03be\u03af\u03b1\u03c2. \u0397 \u03c4\u03c5\u03c7\u03b1\u03af\u03b1 \u03b1\u03bd\u03b5\u03be\u03ac\u03c1\u03c4\u03b7\u03c4\u03b7 \u03bc\u03b5\u03c4\u03b1\u03b2\u03bf\u03bb\u03ae \u03c4\u03bf\u03c5\u03c2 \u03b8\u03b1 \u03bc\u03c0\u03bf\u03c1\u03bf\u03cd\u03c3\u03b5 \u03bd\u03b1 \u03c0\u03b1\u03c1\u03ac\u03b3\u03b5\u03b9 \u03bc\u03b7 \u03c1\u03b5\u03b1\u03bb\u03b9\u03c3\u03c4\u03b9\u03ba\u03bf\u03cd\u03c2 \u03c0\u03b5\u03bb\u03ac\u03c4\u03b5\u03c2. \u0391\u03bd\u03c4\u03af\u03c3\u03c4\u03bf\u03b9\u03c7\u03b1, \u03b7 \u03b1\u03bd\u03c4\u03b9\u03ba\u03b1\u03c4\u03ac\u03c3\u03c4\u03b1\u03c3\u03b7 \u03bc\u03b5 \u03bc\u03ad\u03c3\u03b5\u03c2 \u03c4\u03b9\u03bc\u03ad\u03c2 \u03c3\u03c4\u03bf ablation \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b4\u03b7\u03bc\u03b9\u03bf\u03c5\u03c1\u03b3\u03b5\u03af \u03c3\u03b7\u03bc\u03b5\u03af\u03b1 \u03b5\u03ba\u03c4\u03cc\u03c2 \u03c4\u03b7\u03c2 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ae\u03c2 \u03ba\u03b1\u03c4\u03b1\u03bd\u03bf\u03bc\u03ae\u03c2.<\/p>\n<p>\u03a4\u03bf \u03af\u03b4\u03b9\u03bf \u03b9\u03c3\u03c7\u03cd\u03b5\u03b9 \u03b3\u03b9\u03b1 customer service \u03ba\u03b1\u03b9 fraud detection. \u039c\u03b9\u03b1 \u03b5\u03be\u03ae\u03b3\u03b7\u03c3\u03b7 \u03c0\u03bf\u03c5 \u03b1\u03bb\u03bb\u03ac\u03b6\u03b5\u03b9 \u03ad\u03bd\u03c4\u03bf\u03bd\u03b1 \u03b1\u03c0\u03cc \u03bc\u03b9\u03b1 \u03b1\u03bc\u03b5\u03bb\u03b7\u03c4\u03ad\u03b1 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03ac \u03c3\u03c4\u03b7 \u03b4\u03b9\u03b1\u03c4\u03cd\u03c0\u03c9\u03c3\u03b7 \u03ae \u03c3\u03b5 \u03ad\u03bd\u03b1 \u03c0\u03b5\u03b4\u03af\u03bf \u03c3\u03c5\u03bd\u03b1\u03bb\u03bb\u03b1\u03b3\u03ae\u03c2 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b4\u03c5\u03c3\u03ba\u03bf\u03bb\u03ad\u03c8\u03b5\u03b9 \u03c4\u03bf\u03bd \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03bf reviewer \u03ba\u03b1\u03b9 \u03bd\u03b1 \u03c0\u03b1\u03c1\u03ac\u03b3\u03b5\u03b9 \u03b1\u03c3\u03c5\u03bd\u03b5\u03c0\u03b5\u03af\u03c2 \u03b5\u03bd\u03ad\u03c1\u03b3\u03b5\u03b9\u03b5\u03c2. \u03a4\u03bf audit \u03b4\u03b5\u03bd \u03c5\u03c0\u03bf\u03ba\u03b1\u03b8\u03b9\u03c3\u03c4\u03ac \u03c4\u03bf\u03bd \u03c5\u03c0\u03b5\u03cd\u03b8\u03c5\u03bd\u03bf \u03b4\u03b9\u03b1\u03b4\u03b9\u03ba\u03b1\u03c3\u03af\u03b1\u03c2, \u03b1\u03bb\u03bb\u03ac \u03c4\u03bf\u03c5 \u03c0\u03c1\u03bf\u03c3\u03c6\u03ad\u03c1\u03b5\u03b9 \u03ad\u03bd\u03b4\u03b5\u03b9\u03be\u03b7 \u03b3\u03b9\u03b1 \u03c4\u03bf \u03c0\u03cc\u03c4\u03b5 \u03b7 \u03b5\u03be\u03ae\u03b3\u03b7\u03c3\u03b7 \u03b5\u03af\u03bd\u03b1\u03b9 \u03b1\u03c1\u03ba\u03b5\u03c4\u03ac \u03c3\u03c4\u03b1\u03b8\u03b5\u03c1\u03ae \u03ce\u03c3\u03c4\u03b5 \u03bd\u03b1 \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03b7\u03b8\u03b5\u03af \u03ba\u03b1\u03b9 \u03c0\u03cc\u03c4\u03b5 \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03b4\u03b5\u03cd\u03c4\u03b5\u03c1\u03bf\u03c2 \u03ad\u03bb\u03b5\u03b3\u03c7\u03bf\u03c2.<\/p>\n<div class=\"td-decision-band\">\n<p class=\"td-decision-kicker\">\u039a\u03b1\u03bd\u03cc\u03bd\u03b1\u03c2 \u03b1\u03c0\u03cc\u03c6\u03b1\u03c3\u03b7\u03c2<\/p>\n<p class=\"td-decision-title\">\u039c\u03b7\u03bd \u03b1\u03c6\u03ae\u03bd\u03b5\u03c4\u03b5 \u03bc\u03b9\u03b1 \u03bc\u03b7 \u03b5\u03bb\u03b5\u03b3\u03bc\u03ad\u03bd\u03b7 \u03b5\u03be\u03ae\u03b3\u03b7\u03c3\u03b7 \u03bd\u03b1 \u03b1\u03bb\u03bb\u03ac\u03b6\u03b5\u03b9 budget, \u03c0\u03c1\u03cc\u03c3\u03b2\u03b1\u03c3\u03b7 \u03ae \u03bc\u03b5\u03c4\u03b1\u03c7\u03b5\u03af\u03c1\u03b9\u03c3\u03b7 \u03c0\u03b5\u03bb\u03ac\u03c4\u03b7<\/p>\n<p>\u03a0\u03c1\u03bf\u03c7\u03c9\u03c1\u03ae\u03c3\u03c4\u03b5 \u03bc\u03cc\u03bd\u03bf \u03cc\u03c4\u03b1\u03bd \u03c4\u03bf model\u2013explainer pair \u03ad\u03c7\u03b5\u03b9 \u03b5\u03bb\u03b5\u03b3\u03c7\u03b8\u03b5\u03af \u03bc\u03b5 \u03ad\u03b3\u03ba\u03c5\u03c1\u03b5\u03c2 domain perturbations, \u03c0\u03bf\u03bb\u03c5\u03b5\u03c0\u03af\u03c0\u03b5\u03b4\u03bf ablation, segment analysis, uncertainty, versioned report \u03ba\u03b1\u03b9 \u03c3\u03b1\u03c6\u03ad\u03c2 human escalation. \u0391\u03bd \u03ba\u03ac\u03c0\u03bf\u03b9\u03bf \u03c3\u03c4\u03bf\u03b9\u03c7\u03b5\u03af\u03bf \u03bb\u03b5\u03af\u03c0\u03b5\u03b9, \u03b7 \u03b5\u03be\u03ae\u03b3\u03b7\u03c3\u03b7 \u03b5\u03af\u03bd\u03b1\u03b9 diagnostic signal \u03ba\u03b1\u03b9 \u03cc\u03c7\u03b9 production authority.<\/p>\n<\/div>\n<h2 id=\"praktikos-elegchos\">\u0395\u03c0\u03c4\u03ac \u03b2\u03ae\u03bc\u03b1\u03c4\u03b1 \u03b3\u03b9\u03b1 \u03c3\u03bf\u03b2\u03b1\u03c1\u03cc Explainable AI audit<\/h2>\n<p>\u03a0\u03c1\u03ce\u03c4\u03bf \u03b2\u03ae\u03bc\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03bd\u03b1 \u03bf\u03c1\u03b9\u03c3\u03c4\u03b5\u03af \u03c0\u03bf\u03b9\u03bf\u03c2 \u03ba\u03b1\u03c4\u03b1\u03bd\u03b1\u03bb\u03ce\u03bd\u03b5\u03b9 \u03c4\u03b7\u03bd \u03b5\u03be\u03ae\u03b3\u03b7\u03c3\u03b7 \u03ba\u03b1\u03b9 \u03b3\u03b9\u03b1 \u03c0\u03bf\u03b9\u03b1 \u03b1\u03c0\u03cc\u03c6\u03b1\u03c3\u03b7. \u0386\u03bb\u03bb\u03b7 \u03b1\u03c0\u03b1\u03af\u03c4\u03b7\u03c3\u03b7 \u03ad\u03c7\u03b5\u03b9 \u03ad\u03bd\u03b1 \u03b5\u03c3\u03c9\u03c4\u03b5\u03c1\u03b9\u03ba\u03cc debugging \u03b5\u03c1\u03b3\u03b1\u03bb\u03b5\u03af\u03bf \u03ba\u03b1\u03b9 \u03ac\u03bb\u03bb\u03b7 \u03bc\u03b9\u03b1 \u03b1\u03b9\u03c4\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7 \u03c0\u03bf\u03c5 \u03b2\u03bb\u03ad\u03c0\u03b5\u03b9 \u03c0\u03b5\u03bb\u03ac\u03c4\u03b7\u03c2 \u03ae \u03b5\u03bb\u03b5\u03b3\u03ba\u03c4\u03ae\u03c2. \u0391\u03c5\u03c4\u03cc \u03ba\u03b1\u03b8\u03bf\u03c1\u03af\u03b6\u03b5\u03b9 \u03c4\u03b1 \u03b1\u03c0\u03bf\u03b4\u03b5\u03ba\u03c4\u03ac \u03cc\u03c1\u03b9\u03b1, \u03c4\u03bf \u03ba\u03cc\u03c3\u03c4\u03bf\u03c2 \u03b1\u03c0\u03bf\u03c4\u03c5\u03c7\u03af\u03b1\u03c2 \u03ba\u03b1\u03b9 \u03c4\u03b7 \u03b2\u03b1\u03c1\u03cd\u03c4\u03b7\u03c4\u03b1 robustness \u03ba\u03b1\u03b9 fidelity.<\/p>\n<div class=\"td-step-list\">\n<p class=\"td-step-list-title\">\u0391\u03c0\u03cc \u03c4\u03bf SHAP plot \u03c3\u03b5 \u03b5\u03bb\u03ad\u03b3\u03be\u03b9\u03bc\u03b7 \u03b4\u03b9\u03b1\u03b4\u03b9\u03ba\u03b1\u03c3\u03af\u03b1<\/p>\n<ol>\n<li><span class=\"td-step-kicker\">Step 1<\/span><strong>\u039f\u03c1\u03af\u03c3\u03c4\u03b5 \u03c7\u03c1\u03ae\u03c3\u03c4\u03b7, \u03b1\u03c0\u03cc\u03c6\u03b1\u03c3\u03b7 \u03ba\u03b1\u03b9 \u03c3\u03c5\u03bd\u03ad\u03c0\u03b5\u03b9\u03b1<\/strong>\n<p>\u039a\u03b1\u03c4\u03b1\u03b3\u03c1\u03ac\u03c8\u03c4\u03b5 \u03c0\u03bf\u03b9\u03bf\u03c2 \u03b2\u03bb\u03ad\u03c0\u03b5\u03b9 \u03c4\u03b7\u03bd \u03b5\u03be\u03ae\u03b3\u03b7\u03c3\u03b7, \u03c0\u03bf\u03b9\u03b1 \u03b5\u03bd\u03ad\u03c1\u03b3\u03b5\u03b9\u03b1 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b1\u03ba\u03bf\u03bb\u03bf\u03c5\u03b8\u03ae\u03c3\u03b5\u03b9 \u03ba\u03b1\u03b9 \u03c4\u03b9 \u03c3\u03c5\u03bc\u03b2\u03b1\u03af\u03bd\u03b5\u03b9 \u03b1\u03bd \u03b7 \u03b5\u03be\u03ae\u03b3\u03b7\u03c3\u03b7 \u03b5\u03af\u03bd\u03b1\u03b9 \u03bb\u03b1\u03bd\u03b8\u03b1\u03c3\u03bc\u03ad\u03bd\u03b7 \u03ae \u03b1\u03c3\u03c4\u03b1\u03b8\u03ae\u03c2.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">Step 2<\/span><strong>\u039a\u03bb\u03b5\u03b9\u03b4\u03ce\u03c3\u03c4\u03b5 model, explainer \u03ba\u03b1\u03b9 dataset version<\/strong>\n<p>\u03a4\u03bf \u03b1\u03c0\u03bf\u03c4\u03ad\u03bb\u03b5\u03c3\u03bc\u03b1 \u03b1\u03c6\u03bf\u03c1\u03ac \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03bf model\u2013explainer pair, preprocessing, feature set \u03ba\u03b1\u03b9 \u03c7\u03c1\u03bf\u03bd\u03b9\u03ba\u03ae \u03c0\u03b5\u03c1\u03af\u03bf\u03b4\u03bf\u00b7 \u03cc\u03c7\u03b9 \u03b3\u03b5\u03bd\u03b9\u03ba\u03ac \u03c4\u03bf \u03cc\u03bd\u03bf\u03bc\u03b1 SHAP \u03ae LIME.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">Step 3<\/span><strong>\u03a3\u03c7\u03b5\u03b4\u03b9\u03ac\u03c3\u03c4\u03b5 \u03ad\u03b3\u03ba\u03c5\u03c1\u03b5\u03c2 domain perturbations<\/strong>\n<p>\u0394\u03b9\u03b1\u03c4\u03b7\u03c1\u03ae\u03c3\u03c4\u03b5 \u03c3\u03c5\u03c3\u03c7\u03b5\u03c4\u03af\u03c3\u03b5\u03b9\u03c2, \u03b5\u03c0\u03b9\u03c4\u03c1\u03b5\u03c0\u03c4\u03ac \u03b5\u03cd\u03c1\u03b7 \u03ba\u03b1\u03b9 \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03b7\u03c3\u03b9\u03b1\u03ba\u03bf\u03cd\u03c2 \u03c0\u03b5\u03c1\u03b9\u03bf\u03c1\u03b9\u03c3\u03bc\u03bf\u03cd\u03c2 \u03ce\u03c3\u03c4\u03b5 \u03bd\u03b1 \u03bc\u03b7 \u03b4\u03b7\u03bc\u03b9\u03bf\u03c5\u03c1\u03b3\u03b5\u03af\u03c4\u03b5 \u03c6\u03b1\u03bd\u03c4\u03b1\u03c3\u03c4\u03b9\u03ba\u03bf\u03cd\u03c2 \u03c0\u03b5\u03bb\u03ac\u03c4\u03b5\u03c2 \u03ae \u03c3\u03c5\u03bd\u03b1\u03bb\u03bb\u03b1\u03b3\u03ad\u03c2.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">Step 4<\/span><strong>\u039c\u03b5\u03c4\u03c1\u03ae\u03c3\u03c4\u03b5 robustness \u03b1\u03bd\u03ac instance \u03ba\u03b1\u03b9 segment<\/strong>\n<p>\u0395\u03bb\u03ad\u03b3\u03be\u03c4\u03b5 \u03b4\u03b9\u03b1\u03c3\u03c0\u03bf\u03c1\u03ac, \u03c3\u03c0\u03ac\u03bd\u03b9\u03b5\u03c2 \u03bf\u03bc\u03ac\u03b4\u03b5\u03c2 \u03ba\u03b1\u03b9 edge cases \u03b1\u03bd\u03c4\u03af \u03bd\u03b1 \u03ba\u03c1\u03cd\u03b2\u03b5\u03c4\u03b5 \u03c4\u03b7\u03bd \u03b1\u03c3\u03c4\u03ac\u03b8\u03b5\u03b9\u03b1 \u03c0\u03af\u03c3\u03c9 \u03b1\u03c0\u03cc \u03ad\u03bd\u03b1\u03bd \u03c3\u03c5\u03bd\u03bf\u03bb\u03b9\u03ba\u03cc \u03bc\u03ad\u03c3\u03bf \u03cc\u03c1\u03bf.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">Step 5<\/span><strong>\u03a4\u03c1\u03ad\u03be\u03c4\u03b5 ablation \u03c3\u03b5 \u03c0\u03bf\u03bb\u03bb\u03ac \u03b5\u03c0\u03af\u03c0\u03b5\u03b4\u03b1 k<\/strong>\n<p>\u03a3\u03c5\u03b3\u03ba\u03c1\u03af\u03bd\u03b5\u03c4\u03b5 \u03bf\u03bb\u03cc\u03ba\u03bb\u03b7\u03c1\u03b7 \u03c4\u03b7 fidelity curve \u03ba\u03b1\u03b9 \u03b4\u03b9\u03b5\u03c1\u03b5\u03c5\u03bd\u03ae\u03c3\u03c4\u03b5 \u03b5\u03c0\u03af\u03c0\u03b5\u03b4\u03b5\u03c2 \u03ba\u03b1\u03bc\u03c0\u03cd\u03bb\u03b5\u03c2, out-of-distribution replacements \u03ba\u03b1\u03b9 \u03bc\u03b7\u03b4\u03b5\u03bd\u03b9\u03ba\u03ac vectors.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">Step 6<\/span><strong>\u039f\u03c1\u03af\u03c3\u03c4\u03b5 thresholds \u03ba\u03b1\u03b9 human escalation<\/strong>\n<p>\u03a3\u03c5\u03bd\u03b4\u03ad\u03c3\u03c4\u03b5 \u03c7\u03b1\u03bc\u03b7\u03bb\u03cc robustness, \u03c7\u03b1\u03bc\u03b7\u03bb\u03cc fidelity \u03ae \u03b1\u03b2\u03ad\u03b2\u03b1\u03b9\u03bf score \u03bc\u03b5 \u03b4\u03b5\u03cd\u03c4\u03b5\u03c1\u03bf \u03ad\u03bb\u03b5\u03b3\u03c7\u03bf, \u03c0\u03b5\u03c1\u03b9\u03bf\u03c1\u03b9\u03c3\u03bc\u03cc \u03b5\u03bd\u03b5\u03c1\u03b3\u03b5\u03b9\u03ce\u03bd \u03ae \u03b1\u03c0\u03cc\u03c1\u03c1\u03b9\u03c8\u03b7 \u03c4\u03b7\u03c2 \u03b5\u03be\u03ae\u03b3\u03b7\u03c3\u03b7\u03c2.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">Step 7<\/span><strong>\u0395\u03c0\u03b1\u03bd\u03b1\u03bb\u03ac\u03b2\u03b5\u03c4\u03b5 \u03bc\u03b5\u03c4\u03ac \u03b1\u03c0\u03cc \u03ba\u03ac\u03b8\u03b5 \u03bf\u03c5\u03c3\u03b9\u03b1\u03c3\u03c4\u03b9\u03ba\u03ae \u03b1\u03bb\u03bb\u03b1\u03b3\u03ae<\/strong>\n<p>Retraining, \u03bd\u03ad\u03b1 features, data drift, \u03bd\u03ad\u03b1 \u03b1\u03b3\u03bf\u03c1\u03ac \u03ae \u03b1\u03bb\u03bb\u03b1\u03b3\u03ae explainer \u03b1\u03ba\u03c5\u03c1\u03ce\u03bd\u03bf\u03c5\u03bd \u03c4\u03b7\u03bd \u03c5\u03c0\u03cc\u03b8\u03b5\u03c3\u03b7 \u03cc\u03c4\u03b9 \u03c4\u03bf \u03c0\u03c1\u03bf\u03b7\u03b3\u03bf\u03cd\u03bc\u03b5\u03bd\u03bf audit \u03c0\u03b1\u03c1\u03b1\u03bc\u03ad\u03bd\u03b5\u03b9 \u03b1\u03bd\u03c4\u03b9\u03c0\u03c1\u03bf\u03c3\u03c9\u03c0\u03b5\u03c5\u03c4\u03b9\u03ba\u03cc.<\/p>\n<\/li>\n<\/ol>\n<\/div>\n<p>\u03a4\u03bf report \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b1\u03c0\u03bf\u03b8\u03b7\u03ba\u03b5\u03cd\u03b5\u03b9 \u03b5\u03c0\u03af\u03c0\u03b5\u03b4\u03b1 ablation, \u03c4\u03cd\u03c0\u03bf \u03ba\u03b1\u03b9 \u03bc\u03ad\u03b3\u03b5\u03b8\u03bf\u03c2 perturbation, \u03b1\u03c1\u03b9\u03b8\u03bc\u03cc \u03b5\u03c0\u03b1\u03bd\u03b1\u03bb\u03ae\u03c8\u03b5\u03c9\u03bd, sampling seed, \u03b5\u03ba\u03b4\u03cc\u03c3\u03b5\u03b9\u03c2 \u03b2\u03b9\u03b2\u03bb\u03b9\u03bf\u03b8\u03b7\u03ba\u03ce\u03bd, confidence intervals \u03ba\u03b1\u03b9 \u03b3\u03bd\u03c9\u03c3\u03c4\u03ad\u03c2 \u03b1\u03c3\u03c4\u03bf\u03c7\u03af\u03b5\u03c2. \u0388\u03c4\u03c3\u03b9 \u03b1\u03c0\u03bf\u03ba\u03c4\u03ac \u03bd\u03cc\u03b7\u03bc\u03b1 \u03c4\u03bf <a href=\"https:\/\/twodots.gr\/ai-oikonomika-audit-trail-kdaf\/\">audit trail \u03b3\u03b9\u03b1 \u03b1\u03c0\u03bf\u03c6\u03ac\u03c3\u03b5\u03b9\u03c2 AI<\/a>: \u03b7 \u03b5\u03be\u03ae\u03b3\u03b7\u03c3\u03b7 \u03c3\u03c5\u03bd\u03b4\u03ad\u03b5\u03c4\u03b1\u03b9 \u03bc\u03b5 \u03b1\u03bd\u03b1\u03c0\u03b1\u03c1\u03b1\u03b3\u03ce\u03b3\u03b9\u03bc\u03bf \u03c4\u03b5\u03c7\u03bd\u03b9\u03ba\u03cc \u03c3\u03c5\u03bc\u03b2\u03ac\u03bd \u03ba\u03b1\u03b9 \u03cc\u03c7\u03b9 \u03bc\u03b5 \u03ad\u03bd\u03b1 \u03b1\u03c0\u03bf\u03ba\u03bf\u03bc\u03bc\u03ad\u03bd\u03bf screenshot.<\/p>\n<h2 id=\"oria\">\u03a0\u03b5\u03c1\u03b9\u03bf\u03c1\u03b9\u03c3\u03bc\u03bf\u03af \u03ba\u03b1\u03b9 \u03c0\u03b1\u03b3\u03af\u03b4\u03b5\u03c2 \u03b5\u03c1\u03bc\u03b7\u03bd\u03b5\u03af\u03b1\u03c2<\/h2>\n<p>\u039f\u03b9 \u03c3\u03c5\u03b3\u03b3\u03c1\u03b1\u03c6\u03b5\u03af\u03c2 \u03ba\u03b1\u03c4\u03b1\u03b3\u03c1\u03ac\u03c6\u03bf\u03c5\u03bd \u03b5\u03c0\u03c4\u03ac \u03c3\u03b7\u03bc\u03b1\u03bd\u03c4\u03b9\u03ba\u03bf\u03cd\u03c2 \u03c0\u03b5\u03c1\u03b9\u03bf\u03c1\u03b9\u03c3\u03bc\u03bf\u03cd\u03c2. \u03a4\u03bf dataset \u03b5\u03af\u03bd\u03b1\u03b9 \u03bc\u03b9\u03ba\u03c1\u03cc \u03ba\u03b1\u03b9 \u03ad\u03c7\u03b5\u03b9 \u03bc\u03cc\u03bb\u03b9\u03c2 \u03c4\u03c1\u03af\u03b1 \u03c0\u03b1\u03c1\u03b1\u03b4\u03b5\u03af\u03b3\u03bc\u03b1\u03c4\u03b1 \u03c3\u03c4\u03b7 \u03bc\u03af\u03b1 \u03ba\u03bb\u03ac\u03c3\u03b7. \u03a4\u03bf ablation \u03ad\u03c7\u03b5\u03b9 \u03c5\u03c0\u03bf\u03bb\u03bf\u03b3\u03b9\u03c3\u03c4\u03b9\u03ba\u03cc \u03ba\u03cc\u03c3\u03c4\u03bf\u03c2 \u03c0\u03bf\u03c5 \u03b1\u03c5\u03be\u03ac\u03bd\u03b5\u03b9 \u03bc\u03b5 features \u03ba\u03b1\u03b9 instances. \u039f\u03b9 Gaussian perturbations \u03b4\u03b5\u03bd \u03bc\u03bf\u03bd\u03c4\u03b5\u03bb\u03bf\u03c0\u03bf\u03b9\u03bf\u03cd\u03bd \u03c0\u03ac\u03bd\u03c4\u03b1 \u03c1\u03b5\u03b1\u03bb\u03b9\u03c3\u03c4\u03b9\u03ba\u03ad\u03c2 \u03b1\u03bb\u03bb\u03b1\u03b3\u03ad\u03c2. \u03a4\u03b1 \u03b2\u03ac\u03c1\u03b7 \u03c4\u03bf\u03c5 Trust Score \u03b1\u03c0\u03b1\u03b9\u03c4\u03bf\u03cd\u03bd \u03ba\u03c1\u03af\u03c3\u03b7 \u03b1\u03c0\u03cc \u03c4\u03bf domain.<\/p>\n<p>\u0395\u03c0\u03b9\u03c0\u03bb\u03ad\u03bf\u03bd, \u03c4\u03bf framework \u03ba\u03b1\u03bb\u03cd\u03c0\u03c4\u03b5\u03b9 feature attribution \u03ba\u03b1\u03b9 \u03b4\u03b5\u03bd \u03b5\u03c6\u03b1\u03c1\u03bc\u03cc\u03b6\u03b5\u03c4\u03b1\u03b9 \u03b1\u03c5\u03c4\u03bf\u03cd\u03c3\u03b9\u03bf \u03c3\u03b5 counterfactual \u03ae rule-based explanations. \u0397 \u03c5\u03c0\u03b5\u03c1\u03c0\u03c1\u03bf\u03c3\u03b1\u03c1\u03bc\u03bf\u03b3\u03ae \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b1\u03c6\u03b1\u03b9\u03c1\u03ad\u03c3\u03b5\u03b9 \u03b4\u03b9\u03b1\u03ba\u03c1\u03b9\u03c4\u03b9\u03ba\u03ae \u03b9\u03c3\u03c7\u03cd \u03b1\u03c0\u03cc \u03c4\u03b7 fidelity, \u03ac\u03c1\u03b1 \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 \u03c0\u03c1\u03bf\u03b7\u03b3\u03bf\u03c5\u03bc\u03ad\u03bd\u03c9\u03c2 regularization \u03ae calibration. \u03a4\u03ad\u03bb\u03bf\u03c2, \u03b7 \u03c5\u03c8\u03b7\u03bb\u03ae \u03b4\u03b9\u03b1\u03c7\u03c9\u03c1\u03b9\u03c3\u03b9\u03bc\u03cc\u03c4\u03b7\u03c4\u03b1 \u03c4\u03c9\u03bd \u03ba\u03b1\u03c4\u03b7\u03b3\u03bf\u03c1\u03b9\u03ce\u03bd \u03c3\u03c4\u03b7 \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03b7 \u03b2\u03ac\u03c3\u03b7 \u03c3\u03b7\u03bc\u03b1\u03af\u03bd\u03b5\u03b9 \u03cc\u03c4\u03b9 \u03bf\u03b9 \u03b1\u03c1\u03b9\u03b8\u03bc\u03b7\u03c4\u03b9\u03ba\u03ad\u03c2 \u03b5\u03c0\u03b9\u03b4\u03cc\u03c3\u03b5\u03b9\u03c2 \u03b4\u03b5\u03bd \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03bc\u03b5\u03c4\u03b1\u03c6\u03b5\u03c1\u03b8\u03bf\u03cd\u03bd \u03bc\u03b7\u03c7\u03b1\u03bd\u03b9\u03ba\u03ac \u03c3\u03b5 \u03ac\u03bb\u03bb\u03b1 domains.<\/p>\n<p>\u03a5\u03c0\u03ac\u03c1\u03c7\u03b5\u03b9 \u03ba\u03b1\u03b9 \u03bc\u03b9\u03b1 \u03b5\u03c5\u03c1\u03cd\u03c4\u03b5\u03c1\u03b7 \u03c0\u03c1\u03bf\u03b5\u03b9\u03b4\u03bf\u03c0\u03bf\u03af\u03b7\u03c3\u03b7 \u03b3\u03b9\u03b1 \u03c4\u03b1 feature importance tests: \u03b7 \u03b1\u03c6\u03b1\u03af\u03c1\u03b5\u03c3\u03b7 \u03ae permutation \u03b5\u03bd\u03cc\u03c2 \u03c7\u03b1\u03c1\u03b1\u03ba\u03c4\u03b7\u03c1\u03b9\u03c3\u03c4\u03b9\u03ba\u03bf\u03cd \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03bf\u03b4\u03b7\u03b3\u03ae\u03c3\u03b5\u03b9 \u03c4\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03c3\u03b5 \u03c0\u03b5\u03c1\u03b9\u03bf\u03c7\u03ad\u03c2 \u03c4\u03bf\u03c5 feature space \u03c0\u03bf\u03c5 \u03b4\u03b5\u03bd \u03c5\u03c0\u03ae\u03c1\u03c7\u03b1\u03bd \u03c3\u03c4\u03b7\u03bd \u03b5\u03ba\u03c0\u03b1\u03af\u03b4\u03b5\u03c5\u03c3\u03b7. \u03a3\u03c5\u03bd\u03b5\u03c0\u03ce\u03c2, \u03b1\u03ba\u03cc\u03bc\u03b7 \u03ba\u03b1\u03b9 \u03ad\u03bd\u03b1 \u03c0\u03bf\u03c3\u03bf\u03c4\u03b9\u03ba\u03bf\u03c0\u03bf\u03b9\u03b7\u03bc\u03ad\u03bd\u03bf audit \u03b4\u03b5\u03bd \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03c0\u03b1\u03c1\u03bf\u03c5\u03c3\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03c9\u03c2 \u03b1\u03c0\u03cc\u03bb\u03c5\u03c4\u03b7 \u03b1\u03c0\u03cc\u03b4\u03b5\u03b9\u03be\u03b7 \u03b1\u03b9\u03c4\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1\u03c2.<\/p>\n<p>\u03a4\u03b1 NIST principles \u03b4\u03b9\u03b1\u03c7\u03c9\u03c1\u03af\u03b6\u03bf\u03c5\u03bd \u03c4\u03b7\u03bd \u03cd\u03c0\u03b1\u03c1\u03be\u03b7 \u03b5\u03be\u03ae\u03b3\u03b7\u03c3\u03b7\u03c2 \u03b1\u03c0\u03cc \u03c4\u03bf \u03b1\u03bd \u03b1\u03c5\u03c4\u03ae \u03b5\u03af\u03bd\u03b1\u03b9 \u03bf\u03c5\u03c3\u03b9\u03b1\u03c3\u03c4\u03b9\u03ba\u03ae \u03b3\u03b9\u03b1 \u03c4\u03bf\u03bd \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03bf \u03c7\u03c1\u03ae\u03c3\u03c4\u03b7, \u03b1\u03bd \u03b1\u03bd\u03c4\u03b1\u03bd\u03b1\u03ba\u03bb\u03ac \u03c3\u03c9\u03c3\u03c4\u03ac \u03c4\u03b7 \u03b4\u03b9\u03b1\u03b4\u03b9\u03ba\u03b1\u03c3\u03af\u03b1 \u03c4\u03bf\u03c5 \u03c3\u03c5\u03c3\u03c4\u03ae\u03bc\u03b1\u03c4\u03bf\u03c2 \u03ba\u03b1\u03b9 \u03b1\u03bd \u03c4\u03bf \u03c3\u03cd\u03c3\u03c4\u03b7\u03bc\u03b1 \u03b3\u03bd\u03c9\u03c1\u03af\u03b6\u03b5\u03b9 \u03c4\u03b1 \u03cc\u03c1\u03b9\u03ac \u03c4\u03bf\u03c5. \u0391\u03c5\u03c4\u03cc \u03c3\u03b7\u03bc\u03b1\u03af\u03bd\u03b5\u03b9 \u03cc\u03c4\u03b9 robustness \u03ba\u03b1\u03b9 fidelity \u03b5\u03af\u03bd\u03b1\u03b9 \u03ba\u03c1\u03af\u03c3\u03b9\u03bc\u03bf\u03b9 \u03ad\u03bb\u03b5\u03b3\u03c7\u03bf\u03b9, \u03b1\u03bb\u03bb\u03ac \u03b4\u03b5\u03bd \u03ba\u03b1\u03bb\u03cd\u03c0\u03c4\u03bf\u03c5\u03bd \u03bc\u03cc\u03bd\u03bf\u03b9 \u03c4\u03bf\u03c5\u03c2 usability, fairness, privacy, governance \u03ae \u03c4\u03b7\u03bd \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03b7 \u03ba\u03b1\u03c4\u03b1\u03bd\u03cc\u03b7\u03c3\u03b7. \u03a4\u03b1 <a href=\"https:\/\/twodots.gr\/praktika-motiva-diepafis-diafaneia-techniti-noimosyni\/\">\u03bc\u03bf\u03c4\u03af\u03b2\u03b1 \u03b4\u03b9\u03b5\u03c0\u03b1\u03c6\u03ae\u03c2 \u03b3\u03b9\u03b1 \u03b4\u03b9\u03b1\u03c6\u03ac\u03bd\u03b5\u03b9\u03b1 AI<\/a> \u03c0\u03b1\u03c1\u03b1\u03bc\u03ad\u03bd\u03bf\u03c5\u03bd \u03be\u03b5\u03c7\u03c9\u03c1\u03b9\u03c3\u03c4\u03cc \u03bc\u03ad\u03c1\u03bf\u03c2 \u03c4\u03bf\u03c5 \u03c3\u03c7\u03b5\u03b4\u03b9\u03b1\u03c3\u03bc\u03bf\u03cd.<\/p>\n<h2 id=\"diakyvernisi\">\u0391\u03c0\u03cc \u03c4\u03bf explainability dashboard \u03c3\u03c4\u03b7 \u03b4\u03b9\u03b1\u03ba\u03c5\u03b2\u03ad\u03c1\u03bd\u03b7\u03c3\u03b7 AI<\/h2>\n<p>\u0397 \u03c0\u03b9\u03bf \u03c7\u03c1\u03ae\u03c3\u03b9\u03bc\u03b7 \u03b1\u03bb\u03bb\u03b1\u03b3\u03ae \u03bd\u03bf\u03bf\u03c4\u03c1\u03bf\u03c0\u03af\u03b1\u03c2 \u03b5\u03af\u03bd\u03b1\u03b9 \u03bd\u03b1 \u03b1\u03bd\u03c4\u03b9\u03bc\u03b5\u03c4\u03c9\u03c0\u03af\u03b6\u03bf\u03c5\u03bc\u03b5 \u03c4\u03b7\u03bd \u03b5\u03be\u03ae\u03b3\u03b7\u03c3\u03b7 \u03c9\u03c2 output \u03c0\u03bf\u03c5 \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 quality assurance. \u0394\u03b5\u03bd \u03b1\u03c1\u03ba\u03b5\u03af \u03bd\u03b1 \u03b5\u03b3\u03ba\u03b1\u03c4\u03b1\u03c3\u03c4\u03ae\u03c3\u03bf\u03c5\u03bc\u03b5 \u03ad\u03bd\u03b1 library, \u03bd\u03b1 \u03b4\u03b7\u03bc\u03b9\u03bf\u03c5\u03c1\u03b3\u03ae\u03c3\u03bf\u03c5\u03bc\u03b5 \u03ad\u03bd\u03b1 SHAP plot \u03ba\u03b1\u03b9 \u03bd\u03b1 \u03b8\u03b5\u03c9\u03c1\u03ae\u03c3\u03bf\u03c5\u03bc\u03b5 \u03cc\u03c4\u03b9 \u03c4\u03bf \u03c3\u03cd\u03c3\u03c4\u03b7\u03bc\u03b1 \u03ad\u03b3\u03b9\u03bd\u03b5 \u03b4\u03b9\u03b1\u03c6\u03b1\u03bd\u03ad\u03c2. \u0397 \u03c3\u03c4\u03b1\u03b8\u03b5\u03c1\u03cc\u03c4\u03b7\u03c4\u03b1, \u03b7 \u03c0\u03b9\u03c3\u03c4\u03cc\u03c4\u03b7\u03c4\u03b1, \u03c4\u03b1 numerical edge cases \u03ba\u03b1\u03b9 \u03bf\u03b9 \u03c3\u03c5\u03bd\u03b8\u03ae\u03ba\u03b5\u03c2 \u03b1\u03c0\u03bf\u03c4\u03c5\u03c7\u03af\u03b1\u03c2 \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b5\u03bb\u03ad\u03b3\u03c7\u03bf\u03bd\u03c4\u03b1\u03b9 \u03ba\u03b1\u03b9 \u03bd\u03b1 \u03ba\u03b1\u03c4\u03b1\u03b3\u03c1\u03ac\u03c6\u03bf\u03bd\u03c4\u03b1\u03b9.<\/p>\n<p>\u0393\u03b9\u03b1 \u03c4\u03b9\u03c2 \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03ae\u03c3\u03b5\u03b9\u03c2 \u03b1\u03c5\u03c4\u03cc \u03c3\u03b7\u03bc\u03b1\u03af\u03bd\u03b5\u03b9 versioned audit reports, \u03c3\u03cd\u03bd\u03b4\u03b5\u03c3\u03b7 \u03ba\u03ac\u03b8\u03b5 report \u03bc\u03b5 \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03bf model build, dataset \u03ba\u03b1\u03b9 explainer configuration, \u03ba\u03b1\u03b8\u03ce\u03c2 \u03ba\u03b1\u03b9 \u03c3\u03b1\u03c6\u03ae thresholds \u03b3\u03b9\u03b1 escalation. \u038c\u03c4\u03b1\u03bd \u03bf\u03b9 \u03b5\u03be\u03b7\u03b3\u03ae\u03c3\u03b5\u03b9\u03c2 \u03b5\u03bd\u03b7\u03bc\u03b5\u03c1\u03ce\u03bd\u03bf\u03c5\u03bd \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03b5\u03c2 \u03b1\u03c0\u03bf\u03c6\u03ac\u03c3\u03b5\u03b9\u03c2, \u03bf reviewer \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b3\u03bd\u03c9\u03c1\u03af\u03b6\u03b5\u03b9 \u03c0\u03cc\u03c4\u03b5 \u03c4\u03bf score \u03b5\u03af\u03bd\u03b1\u03b9 \u03c7\u03b1\u03bc\u03b7\u03bb\u03cc, \u03c0\u03cc\u03c4\u03b5 \u03bc\u03b9\u03b1 \u03ba\u03b1\u03bc\u03c0\u03cd\u03bb\u03b7 \u03b5\u03af\u03bd\u03b1\u03b9 \u03b5\u03c0\u03af\u03c0\u03b5\u03b4\u03b7 \u03ba\u03b1\u03b9 \u03c0\u03cc\u03c4\u03b5 \u03c4\u03bf metric \u03b4\u03b5\u03bd \u03ad\u03c7\u03b5\u03b9 \u03b5\u03c0\u03b1\u03c1\u03ba\u03ae \u03b4\u03b9\u03b1\u03ba\u03c1\u03b9\u03c4\u03b9\u03ba\u03ae \u03b9\u03c3\u03c7\u03cd.<\/p>\n<p>\u03a7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03b5\u03c0\u03af\u03c3\u03b7\u03c2 \u03b4\u03b9\u03ac\u03ba\u03c1\u03b9\u03c3\u03b7 \u03b1\u03bd\u03ac\u03bc\u03b5\u03c3\u03b1 \u03c3\u03b5 monitoring \u03ba\u03b1\u03b9 certification. \u03a4\u03bf monitoring \u03b1\u03bd\u03b9\u03c7\u03bd\u03b5\u03cd\u03b5\u03b9 \u03bc\u03b5\u03c4\u03b1\u03b2\u03bf\u03bb\u03ad\u03c2 \u03bc\u03b5 \u03c4\u03bf\u03bd \u03c7\u03c1\u03cc\u03bd\u03bf \u03ba\u03b1\u03b9 \u03b5\u03b9\u03b4\u03bf\u03c0\u03bf\u03b9\u03b5\u03af \u03cc\u03c4\u03b1\u03bd \u03bf\u03b9 \u03b4\u03b5\u03af\u03ba\u03c4\u03b5\u03c2 \u03be\u03b5\u03c6\u03b5\u03cd\u03b3\u03bf\u03c5\u03bd. \u0397 \u03c0\u03b9\u03c3\u03c4\u03bf\u03c0\u03bf\u03af\u03b7\u03c3\u03b7 \u03b1\u03c0\u03b1\u03b9\u03c4\u03b5\u03af \u03b5\u03c0\u03b9\u03c0\u03bb\u03ad\u03bf\u03bd \u03ba\u03c1\u03b9\u03c4\u03ae\u03c1\u03b9\u03b1, \u03b1\u03bd\u03b5\u03be\u03ac\u03c1\u03c4\u03b7\u03c4\u03b7 \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7 \u03ba\u03b1\u03b9 \u03ba\u03b1\u03bd\u03cc\u03bd\u03b5\u03c2 \u03b1\u03c0\u03bf\u03b4\u03bf\u03c7\u03ae\u03c2 \u03c0\u03bf\u03c5 \u03b4\u03b5\u03bd \u03bf\u03c1\u03af\u03b6\u03b5\u03b9 \u03b7 \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03b7 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1. \u039f \u03c4\u03af\u03c4\u03bb\u03bf\u03c2 \u03c4\u03b7\u03c2 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7\u03c2 \u03c0\u03b5\u03c1\u03b9\u03b3\u03c1\u03ac\u03c6\u03b5\u03b9 \u03c0\u03bf\u03c1\u03b5\u03af\u03b1 \u03c0\u03c1\u03bf\u03c2 trust certification, \u03b1\u03bb\u03bb\u03ac \u03c4\u03b1 \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03ad\u03c3\u03bc\u03b1\u03c4\u03b1 \u03c5\u03c0\u03bf\u03c3\u03c4\u03b7\u03c1\u03af\u03b6\u03bf\u03c5\u03bd \u03ba\u03c5\u03c1\u03af\u03c9\u03c2 \u03bc\u03b9\u03b1 \u03bc\u03b5\u03b8\u03bf\u03b4\u03bf\u03bb\u03bf\u03b3\u03b9\u03ba\u03ae \u03b2\u03ac\u03c3\u03b7 audit, \u03cc\u03c7\u03b9 \u03ad\u03bd\u03b1 \u03ba\u03b1\u03b8\u03bf\u03bb\u03b9\u03ba\u03cc \u03c0\u03c1\u03cc\u03c4\u03c5\u03c0\u03bf \u03c0\u03b9\u03c3\u03c4\u03bf\u03c0\u03bf\u03af\u03b7\u03c3\u03b7\u03c2.<\/p>\n<p>\u03a4\u03bf \u03ce\u03c1\u03b9\u03bc\u03bf \u03b1\u03c0\u03bf\u03c4\u03ad\u03bb\u03b5\u03c3\u03bc\u03b1 \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u00ab\u03ad\u03c7\u03bf\u03c5\u03bc\u03b5 explainability\u00bb. \u0395\u03af\u03bd\u03b1\u03b9 \u03cc\u03c4\u03b9 \u03b7 \u03bf\u03bc\u03ac\u03b4\u03b1 \u03ad\u03c7\u03b5\u03b9 \u03b1\u03c0\u03bf\u03b4\u03b5\u03af\u03be\u03b5\u03b9\u03c2 \u03b3\u03b9\u03b1 \u03c4\u03bf \u03c0\u03cc\u03c4\u03b5 \u03b7 \u03b5\u03be\u03ae\u03b3\u03b7\u03c3\u03b7 \u03b1\u03bd\u03c4\u03ad\u03c7\u03b5\u03b9, \u03c0\u03cc\u03c4\u03b5 \u03b1\u03c0\u03bf\u03c4\u03c5\u03b3\u03c7\u03ac\u03bd\u03b5\u03b9 \u03ba\u03b1\u03b9 \u03c0\u03bf\u03b9\u03bf\u03c2 \u03b1\u03bd\u03b1\u03bb\u03b1\u03bc\u03b2\u03ac\u03bd\u03b5\u03b9 \u03bc\u03b5\u03c4\u03ac. \u0391\u03c5\u03c4\u03cc \u03b5\u03af\u03bd\u03b1\u03b9 \u03c4\u03bf \u03c3\u03b7\u03bc\u03b5\u03af\u03bf \u03cc\u03c0\u03bf\u03c5 \u03b7 \u03b5\u03c1\u03bc\u03b7\u03bd\u03b5\u03af\u03b1 \u03c0\u03b1\u03cd\u03b5\u03b9 \u03bd\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03b4\u03b9\u03b1\u03ba\u03bf\u03c3\u03bc\u03b7\u03c4\u03b9\u03ba\u03cc dashboard \u03ba\u03b1\u03b9 \u03b3\u03af\u03bd\u03b5\u03c4\u03b1\u03b9 \u03bc\u03ad\u03c1\u03bf\u03c2 \u03c4\u03b7\u03c2 \u03b4\u03b9\u03b1\u03ba\u03c5\u03b2\u03ad\u03c1\u03bd\u03b7\u03c3\u03b7\u03c2 AI.<\/p>\n<section class=\"td-service-cta\">\n<div class=\"td-service-cta-content\">\n<p class=\"td-service-cta-kicker\">AI \u03b1\u03c5\u03c4\u03bf\u03bc\u03b1\u03c4\u03b9\u03c3\u03bc\u03bf\u03af \u03bc\u03b5 \u03b5\u03bb\u03ad\u03b3\u03be\u03b9\u03bc\u03b5\u03c2 \u03b5\u03be\u03b7\u03b3\u03ae\u03c3\u03b5\u03b9\u03c2<\/p>\n<p class=\"td-service-cta-title\">\u0392\u03ac\u03bb\u03c4\u03b5 \u03c4\u03bf Explainable AI audit \u03bc\u03ad\u03c3\u03b1 \u03c3\u03c4\u03b7 \u03c1\u03bf\u03ae \u03c0\u03b1\u03c1\u03b1\u03b3\u03c9\u03b3\u03ae\u03c2<\/p>\n<p>\u0397 TWO DOTS \u03c3\u03c7\u03b5\u03b4\u03b9\u03ac\u03b6\u03b5\u03b9 AI workflows \u03c0\u03bf\u03c5 \u03c3\u03c5\u03bd\u03b4\u03ad\u03bf\u03c5\u03bd model versions, domain tests, explanations, thresholds, logs \u03ba\u03b1\u03b9 human escalation. \u0388\u03c4\u03c3\u03b9 \u03c4\u03bf e-commerce, \u03c4\u03bf marketing \u03ba\u03b1\u03b9 \u03c4\u03bf support \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03bf\u03cd\u03bd \u03c4\u03b9\u03c2 \u03b5\u03be\u03b7\u03b3\u03ae\u03c3\u03b5\u03b9\u03c2 \u03c9\u03c2 \u03b5\u03bb\u03b5\u03b3\u03c7\u03cc\u03bc\u03b5\u03bd\u03bf \u03c3\u03ae\u03bc\u03b1 \u03ba\u03b1\u03b9 \u03cc\u03c7\u03b9 \u03c9\u03c2 \u03b1\u03c5\u03c4\u03cc\u03bc\u03b1\u03c4\u03b7 \u03b1\u03c0\u03cc\u03b4\u03b5\u03b9\u03be\u03b7.<\/p>\n<div class=\"td-service-cta-actions\"><a class=\"td-service-cta-button\" href=\"https:\/\/twodots.gr\/aftomatismoi-epicheiriseon-ai\/\">\u0394\u03b5\u03af\u03c4\u03b5 \u0391\u03c5\u03c4\u03bf\u03bc\u03b1\u03c4\u03b9\u03c3\u03bc\u03bf\u03cd\u03c2 \u0395\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03ae\u03c3\u03b5\u03c9\u03bd &amp; AI<\/a><\/div>\n<\/div>\n<\/section>\n<section id=\"sychnes-erotiseis\" class=\"td-faq-section\">\n<div class=\"td-faq\">\n<p class=\"td-faq-heading\">Frequently Asked Questions (FAQs)<\/p>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u0391\u03c1\u03ba\u03b5\u03af \u03c5\u03c8\u03b7\u03bb\u03cc AUC \u03b3\u03b9\u03b1 \u03bd\u03b1 \u03b5\u03bc\u03c0\u03b9\u03c3\u03c4\u03b5\u03c5\u03c4\u03bf\u03cd\u03bc\u03b5 \u03bc\u03b9\u03b1 \u03b5\u03be\u03ae\u03b3\u03b7\u03c3\u03b7 AI;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u038c\u03c7\u03b9. \u03a4\u03bf AUC \u03bc\u03b5\u03c4\u03c1\u03ac \u03c4\u03b7 \u03b4\u03b9\u03b1\u03ba\u03c1\u03b9\u03c4\u03b9\u03ba\u03ae \u03b9\u03ba\u03b1\u03bd\u03cc\u03c4\u03b7\u03c4\u03b1 \u03c4\u03b7\u03c2 \u03c0\u03c1\u03cc\u03b2\u03bb\u03b5\u03c8\u03b7\u03c2, \u03cc\u03c7\u03b9 \u03c4\u03b7 \u03c3\u03c4\u03b1\u03b8\u03b5\u03c1\u03cc\u03c4\u03b7\u03c4\u03b1 \u03ae \u03c4\u03b7\u03bd \u03c0\u03b9\u03c3\u03c4\u03cc\u03c4\u03b7\u03c4\u03b1 \u03c4\u03b7\u03c2 \u03b5\u03be\u03ae\u03b3\u03b7\u03c3\u03b7\u03c2. \u03a3\u03c4\u03bf \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03bf case study, AUC \u03c0\u03ac\u03bd\u03c9 \u03b1\u03c0\u03cc 0,99 \u03c3\u03c5\u03bd\u03c5\u03c0\u03ae\u03c1\u03be\u03b5 \u03bc\u03b5 \u03b5\u03ba\u03c6\u03c5\u03bb\u03b9\u03c3\u03bc\u03ad\u03bd\u03b5\u03c2 \u03ae \u03bc\u03b7 \u03b4\u03b9\u03b1\u03ba\u03c1\u03b9\u03c4\u03b9\u03ba\u03ad\u03c2 \u03b5\u03be\u03b7\u03b3\u03ae\u03c3\u03b5\u03b9\u03c2.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u03a4\u03b9 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c4\u03bf robustness \u03bc\u03b9\u03b1\u03c2 \u03b5\u03be\u03ae\u03b3\u03b7\u03c3\u03b7\u03c2;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u0395\u03af\u03bd\u03b1\u03b9 \u03b7 \u03c3\u03c4\u03b1\u03b8\u03b5\u03c1\u03cc\u03c4\u03b7\u03c4\u03b1 \u03c4\u03b7\u03c2 \u03b5\u03be\u03ae\u03b3\u03b7\u03c3\u03b7\u03c2 \u03cc\u03c4\u03b1\u03bd \u03c4\u03bf input \u03bc\u03b5\u03c4\u03b1\u03b2\u03ac\u03bb\u03bb\u03b5\u03c4\u03b1\u03b9 \u03bb\u03af\u03b3\u03bf \u03b1\u03bb\u03bb\u03ac \u03c0\u03b1\u03c1\u03b1\u03bc\u03ad\u03bd\u03b5\u03b9 \u03ad\u03b3\u03ba\u03c5\u03c1\u03bf \u03b3\u03b9\u03b1 \u03c4\u03bf domain. \u03a5\u03c8\u03b7\u03bb\u03cc robustness \u03c3\u03b7\u03bc\u03b1\u03af\u03bd\u03b5\u03b9 \u03cc\u03c4\u03b9 \u03bc\u03b9\u03ba\u03c1\u03ad\u03c2 perturbations \u03b4\u03b5\u03bd \u03b1\u03bb\u03bb\u03ac\u03b6\u03bf\u03c5\u03bd \u03b4\u03c5\u03c3\u03b1\u03bd\u03ac\u03bb\u03bf\u03b3\u03b1 \u03c4\u03b1 importance scores.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u03a4\u03b9 \u03c3\u03b7\u03bc\u03b1\u03af\u03bd\u03b5\u03b9 fidelity \u03c3\u03b5 SHAP \u03ae LIME;<\/summary>\n<div class=\"td-faq-content\">\n<p>Fidelity \u03b5\u03af\u03bd\u03b1\u03b9 \u03bf \u03b2\u03b1\u03b8\u03bc\u03cc\u03c2 \u03c3\u03c4\u03bf\u03bd \u03bf\u03c0\u03bf\u03af\u03bf \u03c4\u03b1 features \u03c0\u03bf\u03c5 \u03c0\u03b1\u03c1\u03bf\u03c5\u03c3\u03b9\u03ac\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 \u03c9\u03c2 \u03c3\u03b7\u03bc\u03b1\u03bd\u03c4\u03b9\u03ba\u03ac \u03b5\u03c0\u03b7\u03c1\u03b5\u03ac\u03b6\u03bf\u03c5\u03bd \u03c0\u03c1\u03ac\u03b3\u03bc\u03b1\u03c4\u03b9 \u03c4\u03b7\u03bd \u03c0\u03c1\u03cc\u03b2\u03bb\u03b5\u03c8\u03b7 \u03c4\u03bf\u03c5 \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03bf\u03c5 \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf\u03c5. \u0397 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7 \u03c4\u03b7\u03bd \u03b5\u03bb\u03ad\u03b3\u03c7\u03b5\u03b9 \u03bc\u03b5 \u03b4\u03b9\u03b1\u03b4\u03bf\u03c7\u03b9\u03ba\u03cc feature ablation.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u03a4\u03b9 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c4\u03bf Trust Score \u03c4\u03b7\u03c2 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7\u03c2;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u0395\u03af\u03bd\u03b1\u03b9 \u03c3\u03c4\u03b1\u03b8\u03bc\u03b9\u03c3\u03bc\u03ad\u03bd\u03bf\u03c2 \u03c3\u03c5\u03bd\u03b4\u03c5\u03b1\u03c3\u03bc\u03cc\u03c2 robustness \u03ba\u03b1\u03b9 fidelity. \u0397 \u03c0\u03c1\u03bf\u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ae \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03b5\u03af \u03af\u03c3\u03b1 \u03b2\u03ac\u03c1\u03b7 0,5 \u03ba\u03b1\u03b9 0,5, \u03b1\u03bb\u03bb\u03ac \u03c4\u03b1 \u03b2\u03ac\u03c1\u03b7 \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03c0\u03c1\u03bf\u03c3\u03b1\u03c1\u03bc\u03cc\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 \u03c3\u03c4\u03b7 \u03c7\u03c1\u03ae\u03c3\u03b7 \u03ba\u03b1\u03b9 \u03b4\u03b5\u03bd \u03b1\u03bd\u03c4\u03b9\u03ba\u03b1\u03b8\u03b9\u03c3\u03c4\u03bf\u03cd\u03bd \u03c4\u03b9\u03c2 \u03b5\u03c0\u03b9\u03bc\u03ad\u03c1\u03bf\u03c5\u03c2 \u03ba\u03b1\u03bc\u03c0\u03cd\u03bb\u03b5\u03c2.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u0395\u03af\u03bd\u03b1\u03b9 \u03c4\u03bf SHAP \u03c0\u03ac\u03bd\u03c4\u03b1 \u03ba\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03bf \u03b1\u03c0\u03cc \u03c4\u03bf LIME;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u038c\u03c7\u03b9. \u03a3\u03c4\u03b7 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7 \u03ae\u03c4\u03b1\u03bd \u03c0\u03b9\u03bf robust \u03c3\u03c4\u03b1 tree-based models, \u03b1\u03bb\u03bb\u03ac \u03c3\u03c4\u03bf neural network \u03c4\u03bf LIME \u03b5\u03af\u03c7\u03b5 \u03b5\u03bb\u03b1\u03c6\u03c1\u03ac \u03c5\u03c8\u03b7\u03bb\u03cc\u03c4\u03b5\u03c1\u03bf robustness. \u039a\u03ac\u03b8\u03b5 model\u2013explainer pair \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03b4\u03b9\u03ba\u03cc \u03c4\u03bf\u03c5 \u03ad\u03bb\u03b5\u03b3\u03c7\u03bf.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u0393\u03b9\u03b1\u03c4\u03af \u03bc\u03b9\u03b1 \u03b5\u03c0\u03af\u03c0\u03b5\u03b4\u03b7 fidelity curve \u03b5\u03af\u03bd\u03b1\u03b9 \u03c0\u03c1\u03bf\u03b5\u03b9\u03b4\u03bf\u03c0\u03bf\u03af\u03b7\u03c3\u03b7;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u0395\u03c0\u03b5\u03b9\u03b4\u03ae \u03b4\u03b5\u03af\u03c7\u03bd\u03b5\u03b9 \u03cc\u03c4\u03b9 \u03b7 \u03b1\u03c6\u03b1\u03af\u03c1\u03b5\u03c3\u03b7 \u03bb\u03af\u03b3\u03c9\u03bd \u03ae \u03c3\u03c7\u03b5\u03b4\u03cc\u03bd \u03cc\u03bb\u03c9\u03bd \u03c4\u03c9\u03bd \u00ab\u03c3\u03b7\u03bc\u03b1\u03bd\u03c4\u03b9\u03ba\u03ce\u03bd\u00bb features \u03b1\u03bb\u03bb\u03ac\u03b6\u03b5\u03b9 \u03c4\u03bf output \u03bc\u03b5 \u03c0\u03b1\u03c1\u03cc\u03bc\u03bf\u03b9\u03bf \u03c4\u03c1\u03cc\u03c0\u03bf. \u0388\u03c4\u03c3\u03b9 \u03b7 \u03bc\u03b5\u03c4\u03c1\u03b9\u03ba\u03ae \u03b4\u03b5\u03bd \u03b4\u03b9\u03b1\u03ba\u03c1\u03af\u03bd\u03b5\u03b9 \u03b1\u03bd \u03b7 \u03ba\u03b1\u03c4\u03ac\u03c4\u03b1\u03be\u03b7 \u03c4\u03bf\u03c5 explainer \u03b5\u03af\u03bd\u03b1\u03b9 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ac \u03c7\u03c1\u03ae\u03c3\u03b9\u03bc\u03b7.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u0397 regularization \u03bb\u03cd\u03bd\u03b5\u03b9 \u03c0\u03ac\u03bd\u03c4\u03b1 \u03c4\u03bf \u03c0\u03c1\u03cc\u03b2\u03bb\u03b7\u03bc\u03b1;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u038c\u03c7\u03b9. \u0392\u03b5\u03bb\u03c4\u03af\u03c9\u03c3\u03b5 \u03c4\u03b1 Trust Scores \u03c3\u03c4\u03bf \u03c0\u03b5\u03af\u03c1\u03b1\u03bc\u03b1, \u03b1\u03bb\u03bb\u03ac \u03c3\u03c4\u03bf neural network \u03bc\u03b5\u03af\u03c9\u03c3\u03b5 \u03b1\u03b9\u03c3\u03b8\u03b7\u03c4\u03ac \u03c4\u03b7\u03bd AUC. \u03a7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7 \u03c4\u03bf\u03c5 trade-off \u03b3\u03b9\u03b1 \u03c4\u03b1 \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03b1, \u03c4\u03bf\u03bd \u03ba\u03af\u03bd\u03b4\u03c5\u03bd\u03bf \u03ba\u03b1\u03b9 \u03c4\u03b7\u03bd \u03b1\u03c0\u03cc\u03c6\u03b1\u03c3\u03b7 \u03c4\u03bf\u03c5 \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03bf\u03c5 use case.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u03a0\u03cc\u03c4\u03b5 \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b5\u03c0\u03b1\u03bd\u03b1\u03bb\u03b1\u03bc\u03b2\u03ac\u03bd\u03b5\u03c4\u03b1\u03b9 \u03c4\u03bf Explainable AI audit;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u039c\u03b5\u03c4\u03ac \u03b1\u03c0\u03cc retraining, \u03b1\u03bb\u03bb\u03b1\u03b3\u03ae features \u03ae explainer, \u03bf\u03c5\u03c3\u03b9\u03b1\u03c3\u03c4\u03b9\u03ba\u03cc data drift, \u03bc\u03b5\u03c4\u03ac\u03b2\u03b1\u03c3\u03b7 \u03c3\u03b5 \u03bd\u03ad\u03b1 \u03b1\u03b3\u03bf\u03c1\u03ac \u03ba\u03b1\u03b9 \u03c0\u03c1\u03b9\u03bd \u03b7 \u03b5\u03be\u03ae\u03b3\u03b7\u03c3\u03b7 \u03b1\u03c0\u03bf\u03ba\u03c4\u03ae\u03c3\u03b5\u03b9 \u03bd\u03ad\u03b1 \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03b7\u03c3\u03b9\u03b1\u03ba\u03ae \u03c3\u03c5\u03bd\u03ad\u03c0\u03b5\u03b9\u03b1. \u03a4\u03bf \u03b1\u03c0\u03bf\u03c4\u03ad\u03bb\u03b5\u03c3\u03bc\u03b1 \u03b1\u03c6\u03bf\u03c1\u03ac \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03b7 \u03ad\u03ba\u03b4\u03bf\u03c3\u03b7 \u03c4\u03bf\u03c5 \u03c3\u03c5\u03c3\u03c4\u03ae\u03bc\u03b1\u03c4\u03bf\u03c2.<\/p>\n<\/div>\n<\/details>\n<\/div>\n<\/section>\n<div class=\"td-source-list\">\n<p id=\"piges\" class=\"td-source-list-title\">Sources<\/p>\n<ul>\n<li><a href=\"https:\/\/arxiv.org\/abs\/2608.23817\" target=\"_blank\" rel=\"noopener\">Ralinirina et al. \u2014 A Formal Methodological Framework for Auditing Robustness and Fidelity in Explainable AI<\/a><\/li>\n<li><a href=\"https:\/\/www.nist.gov\/publications\/four-principles-explainable-artificial-intelligence\" target=\"_blank\" rel=\"noopener\">NIST \u2014 Four Principles of Explainable Artificial Intelligence<\/a><\/li>\n<li><a href=\"https:\/\/airc.nist.gov\/airmf-resources\/airmf\/3-sec-characteristics\/\" target=\"_blank\" rel=\"noopener\">NIST AI RMF \u2014 Characteristics of trustworthy AI systems<\/a><\/li>\n<li><a href=\"https:\/\/proceedings.neurips.cc\/paper\/2017\/hash\/8a20a8621978632d76c43dfd28b67767-Abstract.html\" target=\"_blank\" rel=\"noopener\">NeurIPS \u2014 A Unified Approach to Interpreting Model Predictions (SHAP)<\/a><\/li>\n<li><a href=\"https:\/\/dl.acm.org\/doi\/10.1145\/2939672.2939778\" target=\"_blank\" rel=\"noopener\">ACM KDD \u2014 Why Should I Trust You? Explaining the Predictions of Any Classifier (LIME)<\/a><\/li>\n<li><a href=\"https:\/\/arxiv.org\/abs\/2406.14349\" target=\"_blank\" rel=\"noopener\">Vascotto et al. \u2014 A robustness test for feature attribution methods<\/a><\/li>\n<\/ul>\n<\/div>","protected":false},"excerpt":{"rendered":"<p>\u0393\u03b9\u03b1\u03c4\u03af \u03c4\u03bf \u03c5\u03c8\u03b7\u03bb\u03cc AUC \u03b4\u03b5\u03bd \u03b1\u03c1\u03ba\u03b5\u03af \u03ba\u03b1\u03b9 \u03c0\u03ce\u03c2 robustness, fidelity \u03ba\u03b1\u03b9 Trust Score \u03b5\u03bb\u03ad\u03b3\u03c7\u03bf\u03c5\u03bd \u03b1\u03bd \u03bf\u03b9 \u03b5\u03be\u03b7\u03b3\u03ae\u03c3\u03b5\u03b9\u03c2 SHAP \u03ae LIME \u03b5\u03af\u03bd\u03b1\u03b9 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ac \u03c7\u03c1\u03ae\u03c3\u03b9\u03bc\u03b5\u03c2.<\/p>","protected":false},"author":1,"featured_media":105838,"comment_status":"open","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"_gspb_post_css":"","content-type":"","footnotes":""},"categories":[199],"tags":[9260,7549,20847,20846,19186],"class_list":["post-98210","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-techniti-noimosyni","tag-ai-governance","tag-explainable-ai","tag-lime","tag-shap","tag-axiopistia-ai"],"blocksy_meta":{"styles_descriptor":{"styles":{"desktop":"","tablet":"","mobile":""},"google_fonts":[],"version":8}},"_links":{"self":[{"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/posts\/98210","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/comments?post=98210"}],"version-history":[{"count":1,"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/posts\/98210\/revisions"}],"predecessor-version":[{"id":105839,"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/posts\/98210\/revisions\/105839"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/media\/105838"}],"wp:attachment":[{"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/media?parent=98210"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/categories?post=98210"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/tags?post=98210"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}