{"id":3995,"date":"2026-01-07T09:34:47","date_gmt":"2026-01-07T07:34:47","guid":{"rendered":"https:\/\/genaisa.eu\/?p=3995"},"modified":"2026-01-07T09:34:47","modified_gmt":"2026-01-07T07:34:47","slug":"atsparumas-dirbtinio-intelekto-amziuje-kai-darbo-jegos-pokyciai-valdomi-virtualiais-pasauliais","status":"publish","type":"post","link":"https:\/\/genaisa.eu\/lt\/resilience-in-the-age-of-ai-navigating-workforce-transitions-via-virtual-worlds\/","title":{"rendered":"Atsparumas dirbtinio intelekto am\u017eiuje: darbo j\u0117gos poky\u010di\u0173 valdymas virtualiuose pasauliuose"},"content":{"rendered":"<p>Spar\u010diai augantis generatyvinis dirbtinis intelektas kei\u010dia ne tik kodo ra\u0161ymo ar grafikos k\u016brimo b\u016bdus, bet ir i\u0161 esm\u0117s kei\u010dia Europos darbo vietos ritm\u0105. Nors techniniai \u012fg\u016bd\u017eiai yra gyvybi\u0161kai svarb\u016bs, geb\u0117jimas prisitaikyti prie \u0161i\u0173 poky\u010di\u0173 \u2013 da\u017enai vadinamas atsparumu \u2013 tapo profesinio i\u0161likimo kertiniu akmeniu.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Kod\u0117l atsparumas svarbus dabar<\/h3>\n\n\n\n<p>Tradiciniams darbo eigoms pereinant prie dirbtinio intelekto paremt\u0173 modeli\u0173, specialistai susiduria su dideliais \u201c\u017emogi\u0161kaisiais\u201d i\u0161\u0161\u016bkiais, be technini\u0173. Pasak Pasaulio ekonomikos forumo, atsparumas ir streso toleravimas dabar yra \u0161e\u0161tas pagal svarb\u0105 \u012fg\u016bdis ateities darbui. Ypa\u010d tiems, kurie dirba technologij\u0173 srityje, geb\u0117jimas atsigauti po automatizavimo ir besikei\u010dian\u010di\u0173 darbo reikalavim\u0173 sukelt\u0173 sutrikim\u0173 neb\u0117ra \u201cmink\u0161tas\u201d privalumas; tai yra pagrindinis reikalavimas.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">\u012etraukiantis mokymasis: virtualus pasaulis<\/h3>\n\n\n\n<p>Siekdamas tai spr\u0119sti, \u201eGenAISA\u201c projektas \u017eengia toliau nei tradicin\u0117s klas\u0117s aplinka. Nors m\u016bs\u0173 pagrindin\u0117s dirbtinio intelekto mokymo programos yra \u012fgyvendinamos per masinius atvirus internetinius kursus (MOOC), specialus atsparumo \u012fg\u016bd\u017ei\u0173 kursas yra testuojamas \u012ftraukian\u010dioje aplinkoje. <strong>Virtualus pasaulis<\/strong> aplinka.<\/p>\n\n\n\n<p>\u0160i platforma leid\u017eia besimokantiesiems orientuotis realiose darbo vietos situacijose, kur jie gali praktikuoti kognityvin\u0119 ir elgesio adaptacij\u0105 saugioje, imituojamoje erdv\u0117je. Pasitelkdamas virtuali\u0105 aplink\u0105, projektas siekia atkreipti d\u0117mes\u012f \u012f atsparumo daugialyp\u012f pob\u016bd\u012f \u2013 apima emocinius, socialinius ir kognityvinius komponentus, kuriuos da\u017enai sunku i\u0161mokyti vien tekstu.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Integruotas \u201eGenAISA\u201c po\u017ei\u016bris<\/h3>\n\n\n\n<p>\u0160i iniciatyva yra pagrindinis \u201eGenAISA\u201c projekto misijos, kuria siekiama panaikinti generatyvinio dirbtinio intelekto \u012fg\u016bd\u017ei\u0173 tr\u016bkum\u0105, ramstis. Atsparumo \u012fg\u016bd\u017ei\u0173 kursas yra skirtas papildyti dvi pagrindines m\u016bs\u0173 mokymo programas:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Auk\u0161tasis i\u0161silavinimas (AM):<\/strong> Orientuotas \u012f dirbtinio intelekto sprendim\u0173 k\u016brim\u0105 ir k\u016brim\u0105.<\/li>\n\n\n\n<li><strong>Profesinis mokymas (VET):<\/strong> D\u0117mesys skiriamas saugiam ir eti\u0161kam dirbtinio intelekto \u012franki\u0173 naudojimui.<\/li>\n<\/ul>\n\n\n\n<p>The <strong>Europos programin\u0117s \u012frangos institutas \u2013 Ryt\u0173 Europos centras (ESI CEE)<\/strong> atlieka pagrindin\u012f vaidmen\u012f \u0161iame vystymesi, pasitelkdama savo patirt\u012f besiformuojan\u010di\u0173 technologij\u0173 srityje, kad pad\u0117t\u0173 formuoti \u0161ias novatori\u0161kas mokymo priemones.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Augimo autentifikavimas<\/h3>\n\n\n\n<p>Vienas i\u0161 novatori\u0161kiausi\u0173 \u0161io po\u017ei\u016brio aspekt\u0173 yra tai, kaip pripa\u017e\u012fstami \u0161ie \u201chorizontalieji\u201d \u012fg\u016bd\u017eiai. Baigus atsparumo mokymus, besimokan\u010di\u0173j\u0173 pa\u017eanga fiksuojama <strong>Skaitmenini\u0173 \u012fg\u016bd\u017ei\u0173 pasas<\/strong><sup><\/sup>. \u0160is pasas patvirtina tiek sunkius generatyvinio dirbtinio intelekto kompetencijos, tiek atsparumo \u012fg\u016bd\u017eius, suteikdamas perkeliam\u0105, visoje ES galiojan\u010di\u0105 \u012fra\u0161\u0105, kuris palengvina tikslin\u012f karjeros planavim\u0105 ir mobilum\u0105.<sup><\/sup>.<\/p>","protected":false},"excerpt":{"rendered":"<p>Spar\u010diai augantis generatyvinis dirbtinis intelektas kei\u010dia ne tik kodo ra\u0161ymo ar grafikos k\u016brimo b\u016bdus, bet ir i\u0161 esm\u0117s kei\u010dia Europos darbo vietos ritm\u0105. Nors techniniai \u012fg\u016bd\u017eiai yra gyvybi\u0161kai svarb\u016bs, geb\u0117jimas prisitaikyti prie \u0161i\u0173 poky\u010di\u0173 \u2013 da\u017enai vadinamas atsparumu \u2013 tapo profesinio\u2026<\/p>","protected":false},"author":2,"featured_media":3996,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_kad_blocks_custom_css":"","_kad_blocks_head_custom_js":"","_kad_blocks_body_custom_js":"","_kad_blocks_footer_custom_js":"","_kad_post_transparent":"","_kad_post_title":"","_kad_post_layout":"","_kad_post_sidebar_id":"","_kad_post_content_style":"","_kad_post_vertical_padding":"","_kad_post_feature":"","_kad_post_feature_position":"","_kad_post_header":false,"_kad_post_footer":false,"_kad_post_classname":"","footnotes":""},"categories":[12],"tags":[],"class_list":["post-3995","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-generative-ai-insights"],"acf":[],"taxonomy_info":{"category":[{"value":12,"label":"Generative AI Insights"}]},"featured_image_src_large":["https:\/\/genaisa.eu\/wp-content\/uploads\/2026\/01\/Gemini_Generated_Image_bquhmcbquhmcbquh-1024x559.png",1024,559,true],"author_info":{"display_name":"Nikolay Tsolev (RCCI)","author_link":"https:\/\/genaisa.eu\/lt\/author\/ntsolev\/"},"comment_info":1,"category_info":[{"term_id":12,"name":"Generative AI Insights","slug":"generative-ai-insights","term_group":0,"term_taxonomy_id":12,"taxonomy":"category","description":"Articles providing tips, trends, and knowledge on generative AI, its applications, and ethical considerations.","parent":0,"count":11,"filter":"raw","cat_ID":12,"category_count":11,"category_description":"Articles providing tips, trends, and knowledge on generative AI, its applications, and ethical considerations.","cat_name":"Generative AI Insights","category_nicename":"generative-ai-insights","category_parent":0}],"tag_info":false,"_links":{"self":[{"href":"https:\/\/genaisa.eu\/lt\/wp-json\/wp\/v2\/posts\/3995","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/genaisa.eu\/lt\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/genaisa.eu\/lt\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/genaisa.eu\/lt\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/genaisa.eu\/lt\/wp-json\/wp\/v2\/comments?post=3995"}],"version-history":[{"count":0,"href":"https:\/\/genaisa.eu\/lt\/wp-json\/wp\/v2\/posts\/3995\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/genaisa.eu\/lt\/wp-json\/wp\/v2\/media\/3996"}],"wp:attachment":[{"href":"https:\/\/genaisa.eu\/lt\/wp-json\/wp\/v2\/media?parent=3995"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/genaisa.eu\/lt\/wp-json\/wp\/v2\/categories?post=3995"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/genaisa.eu\/lt\/wp-json\/wp\/v2\/tags?post=3995"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}