{"id":21720,"date":"2022-09-26T12:30:29","date_gmt":"2022-09-26T10:30:29","guid":{"rendered":"https:\/\/kinit.sk\/how-to-measure-the-quality-of-explanations-of-ai-predictions\/"},"modified":"2023-10-12T14:28:17","modified_gmt":"2023-10-12T12:28:17","slug":"ako-merat-kvalitu-vysvetlenia-predpovede-umelej-inteligencie","status":"publish","type":"post","link":"https:\/\/kinit.sk\/sk\/ako-merat-kvalitu-vysvetlenia-predpovede-umelej-inteligencie\/","title":{"rendered":"Ako mera\u0165 kvalitu vysvetlenia predpovede umelej inteligencie?"},"content":{"rendered":"<div id=\"\" class=\"element core-heading\">\n<h2 class=\"wp-block-heading\">Vysvetlite\u013en\u00e1 umel\u00e1 inteligencia: od \u010diernych skriniek k transparentn\u00fdm modelom<\/h2>\n<\/div>\n\n<div id=\"\" class=\"element core-paragraph\">\n<p>V minulej \u010dasti seri\u00e1lu sme sa pozreli na to, ak\u00e9 komponenty a vlastnosti by mali ma\u0165 dobr\u00e9 vysvetlenia. Prv\u00fd komponent, <strong>zrozumite\u013enos\u0165<\/strong>, sa zameriava na to, do akej miery s\u00fa vysvetlenia rozhodnut\u00ed a spr\u00e1vania modelov strojov\u00e9ho u\u010denia a umelej inteligencie zrozumite\u013en\u00e9 pre \u010dloveka. Dok\u00e1\u017ee ich \u010dlovek kognit\u00edvne uchopi\u0165?&nbsp;<\/p>\n<\/div>\n\n<div id=\"\" class=\"element core-paragraph\">\n<p>Druh\u00fd komponent, <strong>vernos\u0165<\/strong>, hovor\u00ed, do akej miery vysvetlenia opisuj\u00fa skuto\u010dn\u00e9 spr\u00e1vanie modelu, alebo cel\u00e9ho syst\u00e9mu.<\/p>\n<\/div>\n\n<div id=\"\" class=\"element core-image\">\n<figure class=\"wp-block-image is-resized\"><img decoding=\"async\" data-src=\"https:\/\/lh6.googleusercontent.com\/e6pc5NzjNn01EaO7UYKsx8yA6v3kWtJCsjojefywarzFw1jn_Y1ZX1kqQpZXm7OdjbFg_Wrb2U-ZDrr270ElR62pw2mycVwF71ByJVN7i1X4GqisJYzetX69asgmIZX95pYgEbqRB8kYXdkpBsz7N7yLTKXtSl_RF0DOldFNdpZQ3Vm2AoVQuu75lw\" alt=\"\" style=\"--smush-placeholder-width: 800px; --smush-placeholder-aspect-ratio: 800\/212;width:800px;height:212px\" width=\"800\" height=\"212\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" class=\"lazyload\" \/><figcaption class=\"wp-element-caption\"><strong>Obr\u00e1zok 1: <\/strong><em>Vieme, \u017ee dobr\u00e9 vysvetlenie predikcii a spr\u00e1vania komplexn\u00fdch modelov by malo by\u0165 vern\u00e9 a zrozumite\u013en\u00e9. Taktie\u017e vieme, ak\u00e9 vlastnosti by jednotliv\u00e9 komponenty mali ma\u0165. Ot\u00e1zkou je, ak\u00fdm sp\u00f4sobom sa d\u00e1 naplnenie t\u00fdchto vlastnost\u00ed zmera\u0165?<\/em><\/figcaption><\/figure>\n<\/div>\n\n<div id=\"\" class=\"element core-paragraph\">\n<p><\/p>\n<\/div>\n\n<div id=\"\" class=\"element core-paragraph\">\n<p><strong>Zadefinovanie toho, ak\u00e9 vlastnosti by malo ma\u0165 dobr\u00e9 vysvetlenie, je d\u00f4le\u017eit\u00fdm prv\u00fdm krokom k tomu, aby sme ich dosiahli<\/strong>. Vieme, \u010do chceme dosiahnu\u0165 &#8211; na vstupe m\u00e1me model strojov\u00e9ho u\u010denia alebo umelej inteligencie (napr. neur\u00f3nov\u00fa sie\u0165), vstup (napr. obr\u00e1zok), predpove\u010f, ktor\u00fa pre tento vstup model predikoval a napokon vysvetlenie. Na v\u00fdstupe chceme ur\u010di\u0165, ako zrozumite\u013en\u00e9 a vern\u00e9 toto vysvetlenie je. Ot\u00e1zka je &#8211; ak\u00fdm sp\u00f4sobom vieme zmera\u0165 kvalitu vysvetlen\u00ed? (Obr\u00e1zok 1)<\/p>\n<\/div>\n\n<div id=\"\" class=\"element core-paragraph\">\n<p>Na vyhodnocovanie kvality vysvetlen\u00ed rozli\u0161ujeme dve rodiny pr\u00edstupov: <strong>vyhodnocovanie zameran\u00e9 na \u010dloveka<\/strong> a <strong>vyhodnocovanie zameran\u00e9 na funkcionalitu<\/strong> (Obr\u00e1zok 2). V tomto \u010dl\u00e1nku si na konkr\u00e9tnych pr\u00edkladoch predstav\u00edme vyhodnocovanie zameran\u00e9 na \u010dloveka. V nasleduj\u00facom \u010dl\u00e1nku sa budeme venova\u0165 vyhodnocovaniu zameran\u00e9 na funkcionalitu.<\/p>\n<\/div>\n\n<div id=\"\" class=\"element core-paragraph\">\n<p>Pri vyhodnocovan\u00ed zameranom na \u010dloveka vych\u00e1dzame z predpokladu, \u017ee adres\u00e1tom vysvetlen\u00ed je \u010dlovek a je preto potrebn\u00e9 zapoji\u0165 do procesu vyhodnocovania \u013eud\u00ed. Pri vyhodnocovan\u00ed zameranom na funkcionalitu je zas cie\u013eom kvantitat\u00edvne a automatizovan\u00e9 vyhodnotenie kvality vysvetlen\u00ed.<\/p>\n<\/div>\n\n<div id=\"\" class=\"element core-image\">\n<figure class=\"wp-block-image is-resized\"><img decoding=\"async\" data-src=\"https:\/\/lh6.googleusercontent.com\/RTsbGl_6G1Rmw-767SPBfWBSNI1OMGQegxsQG0RlVuU4CFpoIBqEZ7lTXqRgapd-gooDymOLIaFP3WmbS7V6TZJPl7R2Z-HB0jLj0Cat4ztogV6P_lhieKR_DWridIYBBk6ZGFwMBJNfWkexu-F84bDWNGfVsA-q7EypH04PZLHNgvV8-SXhZ2vrmQ\" alt=\"\" style=\"--smush-placeholder-width: 860px; --smush-placeholder-aspect-ratio: 860\/431;width:860px;height:431px\" width=\"860\" height=\"431\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" class=\"lazyload\" \/><figcaption class=\"wp-element-caption\"><strong>Obr\u00e1zok 2: <\/strong><em>Dve rodiny pr\u00edstupov na vyhodnocovanie kvality vysvetlen\u00ed [1].<\/em><\/figcaption><\/figure>\n<\/div>\n\n<div id=\"\" class=\"element core-paragraph\">\n<p><\/p>\n<\/div>\n\n<div id=\"\" class=\"element core-heading\">\n<h3 class=\"wp-block-heading\">Vyhodnocovanie kvality vysvetlen\u00ed zameran\u00e9 na \u010dloveka<\/h3>\n<\/div>\n\n<div id=\"\" class=\"element core-paragraph\">\n<p>Jedn\u00fdm z najd\u00f4le\u017eitej\u0161\u00edch cie\u013eov v\u00fdskumu v oblasti vysvetlite\u013enej umelej inteligencie ja zv\u00fd\u0161i\u0165 transparentnos\u0165 netransparentn\u00fdch, komplexn\u00fdch modelov a ich predikc\u00ed\u00ed. Tak\u00fdmto sp\u00f4sobom je mo\u017en\u00e9 zv\u00fd\u0161i\u0165 mieru, do akej <strong>\u013eudia <\/strong>akceptuj\u00fa rie\u0161enia zalo\u017een\u00e9 na umelej inteligencii v praxi. Taktie\u017e m\u00f4\u017ee poskytn\u00fa\u0165 \u013eu\u010fom n\u00e1stroje na kontrolu umelej inteligencie (napr. ak by vysvetlenie predikcie bolo evidentne nelogick\u00e9, \u010dlovek by to mal bra\u0165 do \u00favahy).<\/p>\n<\/div>\n\n<div id=\"\" class=\"element core-paragraph\">\n<p>Pri vyhodnocovan\u00ed kvality vysvetlen\u00ed zameranom na \u010dloveka je hlavn\u00e1 my\u0161lienka jednoduch\u00e1 &#8211; pou\u017ei\u0165 \u013eud\u00ed, ktor\u00fdm s\u00fa vysvetlenia adresovan\u00e9, na vyhodnotenie ich kvality. Pozer\u00e1me sa pritom na dva aspekty &#8211; ako vysvetlenia pom\u00e1haj\u00fa \u013eu\u010fom plni\u0165 r\u00f4zne \u00falohy a ako \u013eudia vn\u00edmaj\u00fa vysvetlenia. Vo svojej pr\u00e1ci Zhou a kol. hovoria o <strong>vyhodnocovan\u00ed zalo\u017eenom na aplik\u00e1cii <\/strong>(angl. <em>application-grounded<\/em>) a <strong>vyhodnocovan\u00ed zalo\u017eenom na \u013eu\u010foch<\/strong> (angl. <em>human-grounded<\/em>) [1].<\/p>\n<\/div>\n\n<div id=\"\" class=\"element core-paragraph\">\n<p><strong>Z poh\u013eadu vyhodnocovania zalo\u017een\u00e9ho na aplik\u00e1cii n\u00e1s zauj\u00edma, ako ve\u013emi a \u010di v\u00f4bec dok\u00e1\u017eu vysvetlenia pom\u00f4c\u0165 pou\u017e\u00edvate\u013eom pri plnen\u00ed r\u00f4znych \u00faloh<\/strong>. Zv\u00e4\u010d\u0161a porovn\u00e1vame r\u00f4zne metriky v\u00fdkonnosti, efekt\u00edvnosti \u010di komfortu dvoch skup\u00edn pou\u017e\u00edvate\u013eov, ktor\u00ed plnia t\u00fa ist\u00fa \u00falohu. Pou\u017e\u00edvatelia zo skupiny A maj\u00fa k dispoz\u00edcii iba predikciu modelu, pou\u017e\u00edvatelia zo skupiny B maj\u00fa k dispoz\u00edcii aj nejak\u00fa formu vysvetlenia.<\/p>\n<\/div>\n\n<div id=\"\" class=\"element core-paragraph\">\n<p><strong>Pri vyhodnocovan\u00ed zalo\u017eenom na \u013eu\u010foch sa zameriavame na to, ako vn\u00edmali poskytnut\u00e9 vysvetlenia samotn\u00ed pou\u017e\u00edvatelia<\/strong>.<\/p>\n<\/div>\n\n<div id=\"\" class=\"element core-heading\">\n<h4 class=\"wp-block-heading\">Vzorov\u00fd pr\u00edklad, kvantitat\u00edvne a kvalitat\u00edvne metriky<\/h4>\n<\/div>\n\n<div id=\"\" class=\"element core-paragraph\">\n<p>Pozrime sa na jednoduch\u00fd pr\u00edklad &#8211; blogovaciu platformu. Jednou z \u00faloh administr\u00e1tora takejto platformy je identifikova\u0165 a pr\u00edpadne maza\u0165 nen\u00e1vistn\u00e9 pr\u00edspevky, ktor\u00e9 sa na platforme vyskytn\u00fa. Ak sa jedn\u00e1 o blog, na ktor\u00fd denne pribudn\u00fa desiatky alebo stovky tis\u00edc pr\u00edspevkov, nie je v sil\u00e1ch jedn\u00e9ho administr\u00e1tora skontrolova\u0165 ich v\u0161etky. Prirodzen\u00fdm rie\u0161en\u00edm je vyu\u017ei\u0165 detektor nen\u00e1vistn\u00fdch prejavoch zalo\u017een\u00fd na strojovom spracovan\u00ed prirodzen\u00e9ho jazyka, ktor\u00fd identifikuje potenci\u00e1lne nen\u00e1vistn\u00e9 pr\u00edspevky. Po\u010det pr\u00edspevkov, ktor\u00e9 mus\u00ed administr\u00e1tor skontrolova\u0165, sa tak rap\u00eddne zn\u00ed\u017ei. St\u00e1le ich v\u0161ak m\u00f4\u017eu by\u0165 tis\u00edcky denne. Ot\u00e1zkou je, <strong>ak\u00fdm sp\u00f4sobom vie vysvetlite\u013en\u00e1 umel\u00e1 inteligencia pom\u00f4c\u0165 e\u0161te viac zefekt\u00edvni\u0165 pr\u00e1cu administr\u00e1tora?<\/strong><\/p>\n<\/div>\n\n<div id=\"\" class=\"element core-paragraph\">\n<p>Na Obr\u00e1zku 3 vid\u00edme porovnanie dvoch situ\u00e1ci\u00ed. V prvom pr\u00edpade m\u00e1 administr\u00e1tor k dispozicii iba samotn\u00e9 pr\u00edspevky, ktor\u00e9 umel\u00e1 inteligencia identifikovala ako nen\u00e1vistn\u00e9. V druhom pr\u00edpade s\u00fa v textoch pr\u00edspevkov zv\u00fdraznen\u00e9 tie \u010dasti, ktor\u00e9 umel\u00fa inteligenciu presved\u010dili, \u017ee sa jedn\u00e1 o nen\u00e1vistn\u00e9 pr\u00edspevky. Ke\u010f\u017ee administr\u00e1tor nem\u00f4\u017ee len tak zmaza\u0165 pr\u00edspevok, ktor\u00fd neporu\u0161il pravidl\u00e1 blogu (plat\u00ed sloboda slova), mus\u00ed pr\u00edspevky identifikovan\u00e9 umelou inteligenciou skontrolova\u0165.&nbsp;<\/p>\n<\/div>\n\n<div id=\"\" class=\"element core-paragraph\">\n<p>V prvom pr\u00edpade mus\u00ed skontrolova\u0165 cel\u00e9 texty, a\u017e k\u00fdm nenaraz\u00ed na nen\u00e1vistn\u00fd prejav (potvrden\u00fd nen\u00e1vistn\u00fd prejav), alebo k\u00fdm pre\u010d\u00edta cel\u00fd text a us\u00fadi, \u017ee sa jedn\u00e1 o falo\u0161n\u00fd poplach a pr\u00edspevok je v poriadku.<\/p>\n<\/div>\n\n<div id=\"\" class=\"element core-paragraph\">\n<p>V druhom pr\u00edpade, kedy m\u00e1 administr\u00e1tor k dispoz\u00edcii aj vysvetlenia, sa m\u00f4\u017ee prim\u00e1rne zamera\u0165 na zv\u00fdraznen\u00e9 \u010dasti textov, \u010do m\u00f4\u017ee v\u00fdznamne zefekt\u00edvni\u0165 jeho pr\u00e1cu. Najm\u00e4 ak sa jedn\u00e1 o skuto\u010dne nen\u00e1vistn\u00fd pr\u00edspevok a nie falo\u0161n\u00fd poplach. V tom pr\u00edpade sta\u010d\u00ed, aby sa napr. rasistick\u00fd alebo antisemitsk\u00fd v\u00fdrok vyskytol raz, v\u010faka \u010domu sa administr\u00e1tor nemus\u00ed \u010falej zaobera\u0165 zvy\u0161kom textu a rovno m\u00f4\u017ee pr\u00edspevok skry\u0165, zmaza\u0165 alebo vyzva\u0165 autora na korekciu. T\u00fdmto sa v\u00fdznamne u\u013eah\u010d\u00ed a zr\u00fdchli pr\u00e1ca administr\u00e1tora.<\/p>\n<\/div>\n\n<div id=\"\" class=\"element core-image\">\n<figure class=\"wp-block-image size-large is-resized\"><img decoding=\"async\" data-src=\"https:\/\/kinit.sk\/wp-content\/uploads\/2022\/09\/vol-5-SK-two-cases-1024x315.png\" alt=\"\" class=\"wp-image-21726 lazyload\" style=\"--smush-placeholder-width: 768px; --smush-placeholder-aspect-ratio: 768\/236;width:768px;height:236px\" width=\"768\" height=\"236\" data-srcset=\"https:\/\/kinit.sk\/wp-content\/uploads\/2022\/09\/vol-5-SK-two-cases-1024x315.png 1024w, https:\/\/kinit.sk\/wp-content\/uploads\/2022\/09\/vol-5-SK-two-cases-300x92.png 300w, https:\/\/kinit.sk\/wp-content\/uploads\/2022\/09\/vol-5-SK-two-cases-768x236.png 768w, https:\/\/kinit.sk\/wp-content\/uploads\/2022\/09\/vol-5-SK-two-cases-1536x473.png 1536w, https:\/\/kinit.sk\/wp-content\/uploads\/2022\/09\/vol-5-SK-two-cases.png 1852w\" data-sizes=\"(max-width: 768px) 100vw, 768px\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" \/><figcaption class=\"wp-element-caption\"><strong>Obr\u00e1zok 3:<\/strong> <em>Modelov\u00fd pr\u00edklad, v ktorom m\u00e1 administr\u00e1tor blogovacej platformy za \u00falohu bojova\u0165 s nen\u00e1vistn\u00fdmi prejavmi. Vzh\u013eadom na ve\u013ek\u00e9 mno\u017estvo pr\u00edspevkov vyu\u017e\u00edva umel\u00fa inteligenciu, ktor\u00e1 identifikuje men\u0161ie (aj ke\u010f st\u00e1le potenci\u00e1lne ve\u013ek\u00e9) mno\u017estvo potenci\u00e1lne nen\u00e1vistn\u00fdch pr\u00edspevkov. V prvom pr\u00edpade (v\u013eavo) m\u00e1 administr\u00e1tor k dispoz\u00edcii iba samotn\u00e9 texty potenci\u00e1lne nen\u00e1vistn\u00fdch pr\u00edspevkov. V druhom pr\u00edpade (vpravo) s\u00fa v textoch vyzna\u010den\u00e9 aj tie \u010dasti, kv\u00f4li ktor\u00fdm boli pr\u00edspevky identifikovan\u00e9 ako nen\u00e1vistn\u00e9. V\u010faka tomu sa m\u00f4\u017ee v\u00fdrazne zefefkt\u00edvni\u0165 pr\u00e1ca administr\u00e1tora &#8211; namiesto \u010d\u00edtania cel\u00fdch textov mu \u010dasto sta\u010d\u00ed pre\u010d\u00edta\u0165 iba zv\u00fdraznen\u00e9 \u010dasti.<\/em><\/figcaption><\/figure>\n<\/div>\n\n<div id=\"\" class=\"element core-paragraph\">\n<p><\/p>\n<\/div>\n\n<div id=\"\" class=\"element core-paragraph\">\n<p><strong>Sp\u00f4sob<\/strong> <strong>kvantitat\u00edvneho merania<\/strong> <strong>kvality vysvetlen\u00ed z\u00e1vis\u00ed od \u00falohy<\/strong>. In\u00fdm sp\u00f4sobom budeme mera\u0165 v\u00fdkonnos\u0165 pou\u017e\u00edvate\u013eov syst\u00e9mu ur\u010den\u00e9ho na detekciu nen\u00e1vistn\u00fdch pr\u00edspevkov a in\u00fdm pou\u017e\u00edvate\u013eov syst\u00e9mu na po\u010d\u00edtanie rakovinov\u00fdch buniek v histologick\u00fdch sn\u00edmkach. V pr\u00edklade s blogovacou platformou by bolo vhodn\u00e9 mera\u0165 napr\u00edklad:<\/p>\n<\/div>\n\n<div id=\"\" class=\"element core-list\">\n<ul class=\"wp-block-list\"><div id=\"\" class=\"element core-list-item\">\n<li>Rozdiel v po\u010dte pr\u00edspevkov (efekt\u00edvnos\u0165), ktor\u00e9 s\u00fa schopn\u00ed skontrolova\u0165 administr\u00e1tori, ktor\u00ed nemaj\u00fa k dispoz\u00edcii vysvetlenie a ktor\u00ed maj\u00fa.<\/li>\n<\/div>\n\n<div id=\"\" class=\"element core-list-item\">\n<li>Rozdiel v presnosti, ktor\u00fa dosiahnu administr\u00e1tori z jednej alebo druhej skupiny.&nbsp;<\/li>\n<\/div>\n\n<div id=\"\" class=\"element core-list-item\">\n<li>Rozdiel v schopnosti odhali\u0165 nespr\u00e1vnu predikciu modelu.<\/li>\n<\/div><\/ul>\n<\/div>\n\n<div id=\"\" class=\"element core-paragraph\">\n<p>Ve\u013ekou v\u00fdhodou kvantitat\u00edvneho merania je jeho objekt\u00edvnos\u0165. Pri spr\u00e1vne nastavenom experimente (vyv\u00e1\u017een\u00e9 skupiny pou\u017e\u00edvate\u013eov, rovnak\u00e9 podmienky, at\u010f.) dok\u00e1\u017eeme s pomerne ve\u013ekou istotou poveda\u0165, \u010di a ak\u00fd ve\u013ek\u00fd pr\u00ednos mali poskytnut\u00e9 vysvetlenia.&nbsp;<\/p>\n<\/div>\n\n<div id=\"\" class=\"element core-paragraph\">\n<p>Pri <strong>kvalitat\u00edvnom meran\u00ed<\/strong> <strong>sa viac zameriavame na subjekt\u00edvne hodnotenie pr\u00ednosu a spokojnosti pou\u017e\u00edvate\u013eov s vysvetleniami<\/strong>. \u010castou formou z\u00edskavania sp\u00e4tnej v\u00e4zby s\u00fa dotazn\u00edky, v ktor\u00fdch pou\u017e\u00edvatelia hodnotia vysvetlenia z r\u00f4znych uhlov poh\u013eadu, napr.:<\/p>\n<\/div>\n\n<div id=\"\" class=\"element core-list\">\n<ul class=\"wp-block-list\"><div id=\"\" class=\"element core-list-item\">\n<li>U\u017eito\u010dnos\u0165 &#8211; z\u00e1kladn\u00fd poh\u013ead na to, \u010di v\u00f4bec pou\u017e\u00edvatelia pokladaj\u00fa poskytnut\u00e9 vysvetlenie za u\u017eito\u010dn\u00e9.<\/li>\n<\/div>\n\n<div id=\"\" class=\"element core-list-item\">\n<li>Spokojnos\u0165.<\/li>\n<\/div>\n\n<div id=\"\" class=\"element core-list-item\">\n<li>Zrozumite\u013enos\u0165.<\/li>\n<\/div>\n\n<div id=\"\" class=\"element core-list-item\">\n<li>Istota a d\u00f4vera &#8211;&nbsp; do akej miery pou\u017e\u00edvatelia veria, \u017ee vysvetlenia, ktor\u00e9 dostali, s\u00fa spr\u00e1vne. <a href=\"https:\/\/kinit.sk\/sk\/komponenty-a-vlastnosti-dobrych-vysvetleni-rozhodnuti-modelov-umelej-inteligencie\/\">V predch\u00e1dzaj\u00facom dieli<\/a> sme si povedali, \u017ee vysvetlenia by mali by\u0165 konzistentn\u00e9, v opa\u010dnom pr\u00edpade im \u010dlovek nebude d\u00f4verova\u0165.<\/li>\n<\/div><\/ul>\n<\/div>\n\n<div id=\"\" class=\"element core-paragraph\">\n<p>Napriek tomu, \u017ee kvalitat\u00edvne meranie je do ve\u013ekej miery subjekt\u00edvne, jedn\u00e1 sa o d\u00f4le\u017eit\u00fa s\u00fa\u010das\u0165 vyhodnocovania met\u00f3d vysvetlite\u013enosti. <strong>S\u00fa to toti\u017e pou\u017e\u00edvatelia (\u013eudia), ktor\u00ed s\u00fa adres\u00e1tmi vysvetlen\u00ed a preto je nutn\u00e9 mera\u0165 aj ich subjekt\u00edvny postoj k nim<\/strong>. Ak by napr\u00edklad vysvetlenie pomohlo pou\u017e\u00edvate\u013eovi dosiahnu\u0165 vy\u0161\u0161iu presnos\u0165 pri plnen\u00ed \u00falohy, no bol by z neho frustrovan\u00fd (napr. by bolo pr\u00edli\u0161 rozsiahle), nebolo by to optim\u00e1lne.<\/p>\n<\/div>\n\n<div id=\"\" class=\"element core-heading\">\n<h4 class=\"wp-block-heading\">V\u00fdhody a nev\u00fdhody vyhodnocovania kvality vysvetlen\u00ed zameran\u00e9ho na \u010dloveka<\/h4>\n<\/div>\n\n<div id=\"\" class=\"element core-paragraph\">\n<p>V\u00fdhodou vyhodnocovania zameran\u00e9ho na \u010dloveka je, \u017ee prostredn\u00edctvom neho <strong>vieme priamo zmera\u0165, ak\u00fd benefit z vysvetlen\u00ed maj\u00fa samotn\u00ed pou\u017e\u00edvatelia<\/strong>. Vieme z\u00edska\u0165 presved\u010div\u00fd d\u00f4kaz o tom, do akej miery s\u00fa \u013eudia s vysvetleniami spokojn\u00ed a ako ve\u013emi im pom\u00e1haj\u00fa pri plnen\u00ed r\u00f4znych \u00faloh.<\/p>\n<\/div>\n\n<div id=\"\" class=\"element core-paragraph\">\n<p>V\u010faka tomu vieme pou\u017e\u00edvate\u013eovi poskytn\u00fa\u0165 tak\u00e9 vysvetlenie, ktor\u00e9 je mu \u201c\u0161it\u00e9 na mieru\u201d a ktor\u00e9 v dostato\u010dnej miere nap\u013a\u0148a vlastnosti, ktor\u00e9 by dobr\u00e9 vysvetlenie malo ma\u0165 (<a href=\"https:\/\/kinit.sk\/sk\/komponenty-a-vlastnosti-dobrych-vysvetleni-rozhodnuti-modelov-umelej-inteligencie\/\">m\u00f4\u017eete ich n\u00e1js\u0165 v predo\u0161lej \u010dasti n\u00e1\u0161ho seri\u00e1lu<\/a>).<\/p>\n<\/div>\n\n<div id=\"\" class=\"element core-paragraph\">\n<p>V pr\u00e1ci, ktor\u00fa tento rok publikovali Tompkins a kol. [2] na Workshope o vysvetlite\u013enej umelej inteligencii na konferencii IJCAI, sa uk\u00e1zalo, ak\u00e9 d\u00f4le\u017eit\u00e9 je validova\u0165 r\u00f4zne formy a vari\u00e1cie vysvetlen\u00ed, ktor\u00e9 dostane pou\u017e\u00edvate\u013e k dispoz\u00edcii. Napr\u00edklad, na prv\u00e9 po\u010dutie d\u00e1va zmysel, \u017ee \u010d\u00edm rozsiahlej\u0161ie a kompletnej\u0161ie vysvetlenie m\u00e1 pou\u017e\u00edvate\u013e k dispoz\u00edcii, t\u00fdm viac by mu malo pom\u00f4c\u0165 pri plnen\u00ed danej \u00falohy. Pri jednom z experimentov s 208 \u00fa\u010dastn\u00edkmi autori porovn\u00e1vali, ak\u00e9 v\u00fdsledky dosiahnu \u00fa\u010dastn\u00edci, ktor\u00fdm bud\u00fa poskytnut\u00e9 r\u00f4zne po\u010dty tzv. \u201ccounterfactual\u201d (protichodn\u00fdch) vysvetlen\u00ed. Uk\u00e1zalo sa, \u017ee menej rozsiahle vysvetlenie (1 alebo 2 \u201ccounterfactuals\u201d) bolo pre pou\u017e\u00edvate\u013eov objekt\u00edvne pr\u00ednosnej\u0161ie. Okrem toho samotn\u00ed pou\u017e\u00edvatelia vyjadrili preferenciu dost\u00e1va\u0165 menej vysvetlen\u00ed.<\/p>\n<\/div>\n\n<div id=\"\" class=\"element core-paragraph\">\n<p><strong>Potenci\u00e1lnou nev\u00fdhodou vyhodnocovania zameran\u00e9ho na \u010dloveka je subjektivita<\/strong> a s t\u00fdm spojen\u00e1 citlivos\u0165 vyhodnocovania a jeho v\u00fdsledkov na v\u00fdber \u013eud\u00ed, ktor\u00ed s\u00fa do vyhodnocovania zapojen\u00ed. Obzvl\u00e1\u0161\u0165 v pr\u00edpade, \u017ee chceme do experimentu zapoji\u0165 v\u00e4\u010d\u0161\u00ed po\u010det \u013eud\u00ed, m\u00f4\u017ee by\u0165 probl\u00e9m n\u00e1js\u0165 dostato\u010dn\u00fd po\u010det dostato\u010dne rozmanit\u00fdch koncov\u00fdch pou\u017e\u00edvate\u013eov. Napr\u00edklad po\u010det r\u00e1diol\u00f3gov, s ktor\u00fdmi by sme chceli testova\u0165 pr\u00ednos vysvetlen\u00ed v diagnostickom softv\u00e9ri podporovanom umelou inteligenciou, je ve\u013emi obmedzen\u00fd a ich \u010das je vz\u00e1cny. Preto sme \u010dasto odk\u00e1zan\u00ed na <strong>vyhodnocovanie s men\u0161ou vzorkou koncov\u00fdch pou\u017e\u00edvate\u013eov alebo na testovanie s laikmi<\/strong> (v tomto pr\u00edpade nemus\u00edme by\u0165 v\u00f4bec schopn\u00ed vykona\u0165 vyhodnocovanie zalo\u017een\u00e9 na aplik\u00e1cii).<\/p>\n<\/div>\n\n<div id=\"\" class=\"element core-paragraph\">\n<p>Ako sme si uk\u00e1zali <a href=\"https:\/\/kinit.sk\/sk\/komponenty-a-vlastnosti-dobrych-vysvetleni-rozhodnuti-modelov-umelej-inteligencie\/\">v predo\u0161lej \u010dasti seri\u00e1lu<\/a>, <strong>dobr\u00e9 vysvetlenie vyva\u017euje dva komponenty &#8211; zrozumite\u013enos\u0165 a vernos\u0165<\/strong>. Pri tomto type vyhodnocovania <strong>sme schopn\u00ed priamo mera\u0165 zrozumite\u013enos\u0165 vysvetlen\u00ed<\/strong> (je to jedna z ot\u00e1zok, ktor\u00fa m\u00f4\u017eeme pou\u017e\u00edvate\u013eovi polo\u017ei\u0165 priamo v dotazn\u00edku), no <strong>vernos\u0165 vieme mera\u0165 iba nepriamo<\/strong>. Vych\u00e1dzame toti\u017e z predpokladu, \u017ee model je pr\u00edli\u0161 komplexn\u00fd na to, aby \u010dlovek \u00faplne pochopil jeho vn\u00fatorn\u00e9 spr\u00e1vanie a sp\u00f4sob, ak\u00fdm dospel k predpovedi. Nevie teda ani poveda\u0165, \u010di vysvetlenie plne kore\u0161ponduje so skuto\u010dn\u00fdm spr\u00e1van\u00edm modelu.<\/p>\n<\/div>\n\n<div id=\"\" class=\"element core-paragraph\">\n<p>\u010eal\u0161\u00edm probl\u00e9mom je <strong>n\u00e1ro\u010dnos\u0165 tak\u00e9hoto vyhodnocovania na \u010das a zdroje<\/strong>. S\u00fa\u010dasn\u00fd v\u00fdskum vo vysvetlite\u013enej umelej inteligencii neust\u00e1le prin\u00e1\u0161a nov\u00e9 pr\u00edstupy a met\u00f3dy. Z\u00e1rove\u0148 plat\u00ed, \u017ee vysvetlenie by malo by\u0165 \u0161pecificky \u0161it\u00e9 na mieru danej \u00falohe a modelu (a d\u00e1tam). Ak by sme v\u0161ak chceli vyhodnoti\u0165, ktor\u00e1 z mnoh\u00fdch met\u00f3d vysvetlite\u013enosti a ich r\u00f4znych kombin\u00e1ci\u00ed najviac pom\u00f4\u017ee pou\u017e\u00edvate\u013eovi pri rie\u0161en\u00ed danej \u00falohy a ktor\u00fa bude pou\u017e\u00edvate\u013e pova\u017eova\u0165 za najlep\u0161iu, museli by sme pre ka\u017ed\u00fa \u00falohu vykona\u0165 ve\u013ek\u00e9 mno\u017estvo experimentov s \u013eu\u010fmi. Toto nie je re\u00e1lne uskuto\u010dnite\u013en\u00e9.<\/p>\n<\/div>\n\n<div id=\"\" class=\"element core-paragraph\">\n<p><strong>Odpove\u010fou na probl\u00e9m \u0161k\u00e1lovania, subjektivitu a absenciu priameho merania vernosti vysvetlen\u00ed prin\u00e1\u0161a vyhodnocovanie kvality vysvetlen\u00ed zameran\u00e9 na funkcionalitu<\/strong>. O tejto rodine pr\u00edstupov si povieme v nasleduj\u00facej \u010dasti seri\u00e1lu.<\/p>\n<\/div>\n\n<div id=\"\" class=\"element core-heading\">\n<h3 class=\"wp-block-heading\">Z\u00e1ver<\/h3>\n<\/div>\n\n<div id=\"\" class=\"element core-paragraph\">\n<p>V tejto \u010dasti n\u00e1\u0161ho seri\u00e1lu o vysvetlite\u013enej umelej inteligencii sme sa pozreli na dve z\u00e1kladn\u00e9 rodiny sp\u00f4sobov vyhodnocovania kvality vysvetlen\u00ed. Bli\u017e\u0161\u00ed poh\u013ead sme venovali vyhodnocovaniu kvality zameran\u00e9mu na \u010dloveka.<\/p>\n<\/div>\n\n<div id=\"\" class=\"element core-paragraph\">\n<p>Na modelovom pr\u00edklade, v ktorom mali administr\u00e1tori blogovacej platformy za \u00falohu bojova\u0165 s nen\u00e1vistn\u00fdmi pr\u00edspevkami, sme si uk\u00e1zali, \u017ee <strong>kvalitu vysvetlen\u00ed meriame dvomi sp\u00f4sobmi &#8211; kvantitat\u00edvne a kvalitat\u00edvne<\/strong>.&nbsp;<\/p>\n<\/div>\n\n<div id=\"\" class=\"element core-paragraph\">\n<p>Pri vyhodnocovan\u00ed kvality vysvetlen\u00ed zameranom na \u010dloveka sa s\u00fastred\u00edme na dve veci:<\/p>\n<\/div>\n\n<div id=\"\" class=\"element core-list\">\n<ul class=\"wp-block-list\"><div id=\"\" class=\"element core-list-item\">\n<li>Ako a \u010di v\u00f4bec poskytnut\u00e9 vysvetlenie pom\u00e1ha \u010dloveku pri plnen\u00ed danej \u00falohy?<\/li>\n<\/div>\n\n<div id=\"\" class=\"element core-list-item\">\n<li>Ako (subjekt\u00edvne) vysvetlenie vn\u00edma \u010dlovek?<\/li>\n<\/div><\/ul>\n<\/div>\n\n<div id=\"\" class=\"element core-paragraph\">\n<p>V prvom pr\u00edpade typicky kvantitat\u00edvne meriame, \u010di sa skupine pou\u017e\u00edvate\u013eov, ktor\u00ed maj\u00fa k dispoz\u00edcii vysvetlenie, dar\u00ed plni\u0165 \u00falohu lep\u0161ie ako t\u00fdm, ktor\u00ed vysvetlenie nemaj\u00fa. Alternat\u00edvne je mo\u017en\u00e9 porovna\u0165 skupiny pou\u017e\u00edvate\u013eov, ktor\u00ed dostali r\u00f4zne vysvetlenia.&nbsp;<\/p>\n<\/div>\n\n<div id=\"\" class=\"element core-paragraph\">\n<p>V druhom pr\u00edpade naj\u010dastej\u0161ie zbierame sp\u00e4tn\u00fa v\u00e4zbu prostredn\u00edctvom dotazn\u00edkov, v ktor\u00fdch zis\u0165ujeme napr\u00edklad to, do akej miery pou\u017e\u00edvatelia pova\u017eovali vysvetlenia za u\u017eito\u010dn\u00e9 alebo zrozumite\u013en\u00e9.<\/p>\n<\/div>\n\n<div id=\"\" class=\"element core-paragraph\">\n<p>V \u010fal\u0161ej \u010dasti seri\u00e1lu sa pozrieme na vyhodnocovanie kvality vysvetlen\u00ed zameran\u00e9 na funkcionalitu, ktor\u00e9 vhodne dop\u013a\u0148a vyhodnocovanie zameran\u00e9 na \u010dloveka a adresuje niektor\u00e9 jeho nev\u00fdhody.<\/p>\n<\/div>\n\n<div id=\"\" class=\"element core-columns\">\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-9d6595d7 wp-block-columns-is-layout-flex\"><div id=\"\" class=\"element core-column\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\"><div id=\"\" class=\"element core-paragraph\">\n<p><\/p>\n<\/div>\n\n<div id=\"\" class=\"element core-paragraph\">\n<p><\/p>\n<\/div>\n\n<div id=\"\" class=\"element core-paragraph\">\n<p><em>Projekt podporil Nada\u010dn\u00fd fond PricewaterhouseCoopers v Nad\u00e1cii Pontis.<\/em><\/p>\n<\/div><\/div>\n<\/div>\n\n<div id=\"\" class=\"element core-column\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\"><div id=\"\" class=\"element core-image\">\n<figure class=\"wp-block-image size-full is-resized\"><img decoding=\"async\" data-src=\"https:\/\/kinit.sk\/wp-content\/uploads\/2022\/04\/Logo_Pontis_SK_BW1000px.png\" alt=\"\" class=\"wp-image-16253 lazyload\" style=\"--smush-placeholder-width: 100px; --smush-placeholder-aspect-ratio: 100\/100;width:100px;height:100px\" width=\"100\" height=\"100\" data-srcset=\"https:\/\/kinit.sk\/wp-content\/uploads\/2022\/04\/Logo_Pontis_SK_BW1000px.png 1000w, https:\/\/kinit.sk\/wp-content\/uploads\/2022\/04\/Logo_Pontis_SK_BW1000px-300x300.png 300w, https:\/\/kinit.sk\/wp-content\/uploads\/2022\/04\/Logo_Pontis_SK_BW1000px-768x768.png 768w, https:\/\/kinit.sk\/wp-content\/uploads\/2022\/04\/Logo_Pontis_SK_BW1000px-150x150.png 150w\" data-sizes=\"(max-width: 100px) 100vw, 100px\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" \/><\/figure>\n<\/div><\/div>\n<\/div><\/div>\n<\/div>\n\n<div id=\"\" class=\"element core-heading\">\n<h4 class=\"wp-block-heading\">Referencie<\/h4>\n<\/div>\n\n<div id=\"\" class=\"element core-paragraph\">\n<p>[1] ZHOU, Jianlong, et al. Evaluating the quality of machine learning explanations: A survey on methods and metrics. Electronics, 2021, 10.5: 593.<\/p>\n<\/div>\n\n<div id=\"\" class=\"element core-paragraph\">\n<p>[2] TOMPKINS, Rick, et al. The Effect of Diversity in Counterfactual Machine Learning Explanations. (2022). IJCAI 2022: Workshop on Explainable Artificial Intelligence (XAI). website: https:\/\/sites.google.com\/view\/xai2022<\/p>\n<\/div>\n\n<div id=\"news-blogs\" class=\"element acf-loop squares columns-3\"><section id=\"news-blogs\" class=\"loop old  squares columns-3\" style=\"background-color: #ffffff;\" >\n\t<div class=\"wrapper-out\">\n\t\t<div class=\"wrapper-in\">\n\t\t\t<div class=\"in cf\">\n\t\t\t\t<div class=\"element-inner\">\n\t\t\t\t\t<div class=\"headline\"><h2>Vysvetlite\u013en\u00e1 umel\u00e1 inteligencia: od \u010diernych skriniek k transparentn\u00fdm modelom<\/h2><\/div>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"loop-wrap loop-Any loop-style1 loop-load_more loop-6 cf\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<article id=\"loop-item-16252\" class=\"loop-item\">\n\t\t\t\t\t\t\t\t\t<div class=\"inner cf\">\n\t\t\t\t\t\t\t\t\t\t<a href=\"https:\/\/kinit.sk\/sk\/how-does-artificial-intelligence-think\/\">\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"picture\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"320\" height=\"200\" data-src=\"https:\/\/kinit.sk\/wp-content\/uploads\/2022\/04\/A1.2-Feautre-Web-post-XAI-series-320x200.png\" class=\"attachment-thumbnail size-thumbnail wp-post-image lazyload\" alt=\"\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" style=\"--smush-placeholder-width: 320px; --smush-placeholder-aspect-ratio: 320\/200;\" \/>\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"content cf\">\n\t\t\t\t\t\t\t\t\t\t\t<div class=\"content-inner\">\n\t\t\t\t\t\t\t\t\t\t\t\t<h3>Ako rozm\u00fd\u0161\u013ea umel\u00e1 inteligencia?<\/h3>\n                        \t\t\t\t\t\t\t\t\t\t\t\t<div class=\"meta cf\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"date\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tapr 28. 2022\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"excerpt\">Vysvetlite\u013en\u00e1 umel\u00e1 inteligencia: od \u010diernych skriniek k transparentn\u00fdm modelom M\u00f4\u017ee umel\u00e1 inteligencia rozhodova\u0165 o tom, kto bude prepusten\u00fd z v\u00e4zenia, alebo kto post\u00fapi do \u010fal\u0161ieho kola pracovn\u00fdch pohovorov? M\u00f4\u017ee odpor\u00fa\u010da\u0165&#8230;<\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t<\/a>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/article>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<article id=\"loop-item-17523\" class=\"loop-item\">\n\t\t\t\t\t\t\t\t\t<div class=\"inner cf\">\n\t\t\t\t\t\t\t\t\t\t<a href=\"https:\/\/kinit.sk\/sk\/tri-prinosy-vysvetlitelnej-umelej-inteligencie\/\">\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"picture\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"320\" height=\"200\" data-src=\"https:\/\/kinit.sk\/wp-content\/uploads\/2022\/05\/kinit-xai-part-2-explainable-ai-320x200.png\" class=\"attachment-thumbnail size-thumbnail wp-post-image lazyload\" alt=\"\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" style=\"--smush-placeholder-width: 320px; --smush-placeholder-aspect-ratio: 320\/200;\" \/>\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"content cf\">\n\t\t\t\t\t\t\t\t\t\t\t<div class=\"content-inner\">\n\t\t\t\t\t\t\t\t\t\t\t\t<h3>Tri pr\u00ednosy vysvetlite\u013enej umelej inteligencie<\/h3>\n                        \t\t\t\t\t\t\t\t\t\t\t\t<div class=\"meta cf\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"date\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tm\u00e1j 25. 2022\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"excerpt\">Vysvetlite\u013en\u00e1 umel\u00e1 inteligencia: od \u010diernych skriniek k transparentn\u00fdm modelom Umel\u00e1 inteligencia bude \u010doraz v\u00e4\u010d\u0161mi zasahova\u0165 do na\u0161ich \u017eivotov. Ve\u013ea \u013eud\u00ed v\u0161ak umelej inteligencii ned\u00f4veruje a maj\u00fa probl\u00e9m prenecha\u0165 jej aj&#8230;<\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t<\/a>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/article>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<article id=\"loop-item-18618\" class=\"loop-item\">\n\t\t\t\t\t\t\t\t\t<div class=\"inner cf\">\n\t\t\t\t\t\t\t\t\t\t<a href=\"https:\/\/kinit.sk\/sk\/transparentne-modely-vs-modely-typu-cierna-skrinka\/\">\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"picture\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"320\" height=\"200\" data-src=\"https:\/\/kinit.sk\/wp-content\/uploads\/2022\/06\/A3.2-Feautre-Web-post-XAI-series-320x200.png\" class=\"attachment-thumbnail size-thumbnail wp-post-image lazyload\" alt=\"\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" style=\"--smush-placeholder-width: 320px; --smush-placeholder-aspect-ratio: 320\/200;\" \/>\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"content cf\">\n\t\t\t\t\t\t\t\t\t\t\t<div class=\"content-inner\">\n\t\t\t\t\t\t\t\t\t\t\t\t<h3>Transparentn\u00e9 modely vs. modely typu \u010dierna skrinka<\/h3>\n                        \t\t\t\t\t\t\t\t\t\t\t\t<div class=\"meta cf\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"date\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tj\u00fan 21. 2022\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"excerpt\">Vysvetlite\u013en\u00e1 umel\u00e1 inteligencia: od \u010diernych skriniek k transparentn\u00fdm modelom M\u00f4\u017ee umel\u00e1 inteligencia rozhodova\u0165 o tom, kto bude prepusten\u00fd z v\u00e4zenia, alebo kto post\u00fapi do \u010fal\u0161ieho kola pracovn\u00fdch pohovorov? M\u00f4\u017ee odpor\u00fa\u010da\u0165&#8230;<\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t<\/a>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/article>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<article id=\"loop-item-20690\" class=\"loop-item\">\n\t\t\t\t\t\t\t\t\t<div class=\"inner cf\">\n\t\t\t\t\t\t\t\t\t\t<a href=\"https:\/\/kinit.sk\/sk\/komponenty-a-vlastnosti-dobrych-vysvetleni-rozhodnuti-modelov-umelej-inteligencie\/\">\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"picture\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"320\" height=\"200\" data-src=\"https:\/\/kinit.sk\/wp-content\/uploads\/2022\/08\/A4.2-Feautre-Web-post-XAI-series-320x200.png\" class=\"attachment-thumbnail size-thumbnail wp-post-image lazyload\" alt=\"\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" style=\"--smush-placeholder-width: 320px; --smush-placeholder-aspect-ratio: 320\/200;\" \/>\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"content cf\">\n\t\t\t\t\t\t\t\t\t\t\t<div class=\"content-inner\">\n\t\t\t\t\t\t\t\t\t\t\t\t<h3>Komponenty a vlastnosti dobr\u00fdch vysvetlen\u00ed rozhodnut\u00ed modelov umelej inteligencie<\/h3>\n                        \t\t\t\t\t\t\t\t\t\t\t\t<div class=\"meta cf\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"date\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\taug 16. 2022\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"excerpt\">Vysvetlite\u013en\u00e1 umel\u00e1 inteligencia: od \u010diernych skriniek k transparentn\u00fdm modelom Z poh\u013eadu strojov\u00e9ho u\u010denia (angl. Machine learning, ML) \u017eijeme \u0161\u0165astn\u00e9 \u010dasy. Pre mnoh\u00e9 \u00falohy, ktor\u00e9 sme doteraz nevedeli s pomocou umelej&#8230;<\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t<\/a>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/article>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<article id=\"loop-item-21720\" class=\"loop-item\">\n\t\t\t\t\t\t\t\t\t<div class=\"inner cf\">\n\t\t\t\t\t\t\t\t\t\t<a href=\"https:\/\/kinit.sk\/sk\/ako-merat-kvalitu-vysvetlenia-predpovede-umelej-inteligencie\/\">\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"picture\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"320\" height=\"200\" data-src=\"https:\/\/kinit.sk\/wp-content\/uploads\/2022\/09\/202203_web_news_XAI_Feature_5.jpg-320x200.jpg\" class=\"attachment-thumbnail size-thumbnail wp-post-image lazyload\" alt=\"\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" style=\"--smush-placeholder-width: 320px; --smush-placeholder-aspect-ratio: 320\/200;\" \/>\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"content cf\">\n\t\t\t\t\t\t\t\t\t\t\t<div class=\"content-inner\">\n\t\t\t\t\t\t\t\t\t\t\t\t<h3>Ako mera\u0165 kvalitu vysvetlenia predpovede umelej inteligencie?<\/h3>\n                        \t\t\t\t\t\t\t\t\t\t\t\t<div class=\"meta cf\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"date\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tsep 26. 2022\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"excerpt\">Vysvetlite\u013en\u00e1 umel\u00e1 inteligencia: od \u010diernych skriniek k transparentn\u00fdm modelom V minulej \u010dasti seri\u00e1lu sme sa pozreli na to, ak\u00e9 komponenty a vlastnosti by mali ma\u0165 dobr\u00e9 vysvetlenia. Prv\u00fd komponent, zrozumite\u013enos\u0165,&#8230;<\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t<\/a>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/article>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<article id=\"loop-item-28366\" class=\"loop-item\">\n\t\t\t\t\t\t\t\t\t<div class=\"inner cf\">\n\t\t\t\t\t\t\t\t\t\t<a href=\"https:\/\/kinit.sk\/sk\/su-vysvetlenia-o-ktorych-si-myslime-ze-su-dobre-naozaj-dobre\/\">\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"picture\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"320\" height=\"200\" data-src=\"https:\/\/kinit.sk\/wp-content\/uploads\/2023\/09\/202203_web_news_XAI_Feature_6-320x200.jpg\" class=\"attachment-thumbnail size-thumbnail wp-post-image lazyload\" alt=\"\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" style=\"--smush-placeholder-width: 320px; --smush-placeholder-aspect-ratio: 320\/200;\" \/>\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"content cf\">\n\t\t\t\t\t\t\t\t\t\t\t<div class=\"content-inner\">\n\t\t\t\t\t\t\t\t\t\t\t\t<h3>S\u00fa vysvetlenia, o ktor\u00fdch si mysl\u00edme, \u017ee s\u00fa dobr\u00e9, naozaj dobr\u00e9?<\/h3>\n                        \t\t\t\t\t\t\t\t\t\t\t\t<div class=\"meta cf\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"date\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tsep 27. 2023\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"excerpt\">Vysvetlite\u013en\u00e1 umel\u00e1 inteligencia: od \u010diernych skriniek k transparentn\u00fdm modelom V predo\u0161l\u00fdch \u010dl\u00e1nkoch sme si predstavili tri ve\u013emi zauj\u00edmav\u00e9 koncepty z oblasti vysvetlite\u013enej umelej inteligencie (vysvetlite\u013en\u00e1 AI alebo XAI): V tomto&#8230;<\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t<\/a>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/article>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t<\/div>\n\t<\/div>\n<\/section>\n<\/div>","protected":false},"excerpt":{"rendered":"<p>Vysvetlite\u013en\u00e1 umel\u00e1 inteligencia: od \u010diernych skriniek k transparentn\u00fdm modelom V minulej \u010dasti seri\u00e1lu sme sa pozreli na to, ak\u00e9 komponenty a vlastnosti by mali ma\u0165 dobr\u00e9 vysvetlenia. Prv\u00fd komponent, zrozumite\u013enos\u0165,&#8230;<\/p>\n","protected":false},"author":26,"featured_media":21710,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[349,76,88],"tags":[386],"class_list":["post-21720","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-2022-sk","category-natural-language-processing-sk","category-pop-science-sk","tag-xai-sk"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Ako mera\u0165 kvalitu vysvetlenia predpovede umelej inteligencie? - KInIT<\/title>\n<meta name=\"description\" content=\"Zadefinovanie toho, ak\u00e9 vlastnosti by malo ma\u0165 dobr\u00e9 vysvetlenie, je d\u00f4le\u017eit\u00fdm prv\u00fdm krokom k tomu, aby sme ich dosiahli. Vieme, \u010do chceme dosiahnu\u0165 - na vstupe m\u00e1me model strojov\u00e9ho u\u010denia alebo umelej inteligencie (napr. neur\u00f3nov\u00fa sie\u0165), vstup (napr. obr\u00e1zok), predpove\u010f, ktor\u00fa pre tento vstup model predikoval a napokon vysvetlenie. Na v\u00fdstupe chceme ur\u010di\u0165, ako zrozumite\u013en\u00e9 a vern\u00e9 toto vysvetlenie je. Ot\u00e1zka je - ak\u00fdm sp\u00f4sobom vieme zmera\u0165 kvalitu vysvetlen\u00ed\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/kinit.sk\/sk\/ako-merat-kvalitu-vysvetlenia-predpovede-umelej-inteligencie\/\" \/>\n<meta property=\"og:locale\" content=\"sk_SK\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Ako mera\u0165 kvalitu vysvetlenia predpovede umelej inteligencie? - KInIT\" \/>\n<meta property=\"og:description\" content=\"Zadefinovanie toho, ak\u00e9 vlastnosti by malo ma\u0165 dobr\u00e9 vysvetlenie, je d\u00f4le\u017eit\u00fdm prv\u00fdm krokom k tomu, aby sme ich dosiahli. Vieme, \u010do chceme dosiahnu\u0165 - na vstupe m\u00e1me model strojov\u00e9ho u\u010denia alebo umelej inteligencie (napr. neur\u00f3nov\u00fa sie\u0165), vstup (napr. obr\u00e1zok), predpove\u010f, ktor\u00fa pre tento vstup model predikoval a napokon vysvetlenie. Na v\u00fdstupe chceme ur\u010di\u0165, ako zrozumite\u013en\u00e9 a vern\u00e9 toto vysvetlenie je. Ot\u00e1zka je - ak\u00fdm sp\u00f4sobom vieme zmera\u0165 kvalitu vysvetlen\u00ed\" \/>\n<meta property=\"og:url\" content=\"https:\/\/kinit.sk\/sk\/ako-merat-kvalitu-vysvetlenia-predpovede-umelej-inteligencie\/\" \/>\n<meta property=\"og:site_name\" content=\"KInIT\" \/>\n<meta property=\"article:published_time\" content=\"2022-09-26T10:30:29+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2023-10-12T12:28:17+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/kinit.sk\/wp-content\/uploads\/2022\/09\/202203_web_news_XAI_Feature_5.jpg-scaled.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"2560\" \/>\n\t<meta property=\"og:image:height\" content=\"1344\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"Marianna Palkova\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@kinit\" \/>\n<meta name=\"twitter:site\" content=\"@kinit\" \/>\n<meta name=\"twitter:label1\" content=\"Autor\" \/>\n\t<meta name=\"twitter:data1\" content=\"Marianna Palkova\" \/>\n\t<meta name=\"twitter:label2\" content=\"Predpokladan\u00fd \u010das \u010d\u00edtania\" \/>\n\t<meta name=\"twitter:data2\" content=\"9 min\u00fat\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\\\/\\\/kinit.sk\\\/sk\\\/ako-merat-kvalitu-vysvetlenia-predpovede-umelej-inteligencie\\\/#article\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/kinit.sk\\\/sk\\\/ako-merat-kvalitu-vysvetlenia-predpovede-umelej-inteligencie\\\/\"},\"author\":{\"name\":\"Marianna Palkova\",\"@id\":\"https:\\\/\\\/kinit.sk\\\/#\\\/schema\\\/person\\\/8b175aaaf3267b5bbbbb97e4a6db8cea\"},\"headline\":\"Ako mera\u0165 kvalitu vysvetlenia predpovede umelej inteligencie?\",\"datePublished\":\"2022-09-26T10:30:29+00:00\",\"dateModified\":\"2023-10-12T12:28:17+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\\\/\\\/kinit.sk\\\/sk\\\/ako-merat-kvalitu-vysvetlenia-predpovede-umelej-inteligencie\\\/\"},\"wordCount\":2357,\"image\":{\"@id\":\"https:\\\/\\\/kinit.sk\\\/sk\\\/ako-merat-kvalitu-vysvetlenia-predpovede-umelej-inteligencie\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/kinit.sk\\\/wp-content\\\/uploads\\\/2022\\\/09\\\/202203_web_news_XAI_Feature_5.jpg-scaled.jpg\",\"keywords\":[\"XAI\"],\"articleSection\":[\"2022\",\"Natural Language Processing\",\"Pop science\"],\"inLanguage\":\"sk-SK\"},{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/kinit.sk\\\/sk\\\/ako-merat-kvalitu-vysvetlenia-predpovede-umelej-inteligencie\\\/\",\"url\":\"https:\\\/\\\/kinit.sk\\\/sk\\\/ako-merat-kvalitu-vysvetlenia-predpovede-umelej-inteligencie\\\/\",\"name\":\"Ako mera\u0165 kvalitu vysvetlenia predpovede umelej inteligencie? - KInIT\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/kinit.sk\\\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\\\/\\\/kinit.sk\\\/sk\\\/ako-merat-kvalitu-vysvetlenia-predpovede-umelej-inteligencie\\\/#primaryimage\"},\"image\":{\"@id\":\"https:\\\/\\\/kinit.sk\\\/sk\\\/ako-merat-kvalitu-vysvetlenia-predpovede-umelej-inteligencie\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/kinit.sk\\\/wp-content\\\/uploads\\\/2022\\\/09\\\/202203_web_news_XAI_Feature_5.jpg-scaled.jpg\",\"datePublished\":\"2022-09-26T10:30:29+00:00\",\"dateModified\":\"2023-10-12T12:28:17+00:00\",\"author\":{\"@id\":\"https:\\\/\\\/kinit.sk\\\/#\\\/schema\\\/person\\\/8b175aaaf3267b5bbbbb97e4a6db8cea\"},\"description\":\"Zadefinovanie toho, ak\u00e9 vlastnosti by malo ma\u0165 dobr\u00e9 vysvetlenie, je d\u00f4le\u017eit\u00fdm prv\u00fdm krokom k tomu, aby sme ich dosiahli. 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