{"id":203532,"date":"2026-09-05T09:24:12","date_gmt":"2026-09-05T09:24:12","guid":{"rendered":"https:\/\/www.europesays.com\/cz\/203532\/"},"modified":"2026-09-05T09:24:12","modified_gmt":"2026-09-05T09:24:12","slug":"skryty-text-v-zivotopisu-ci-u-soudu-jak-lide-neviditelne-manipuluji-ai-aby-dostali-praci-nebo-vyhrali-spor","status":"publish","type":"post","link":"https:\/\/www.europesays.com\/cz\/203532\/","title":{"rendered":"Skryt\u00fd text v \u017eivotopisu \u010di u soudu. Jak lid\u00e9 neviditeln\u011b manipuluj\u00ed AI, aby dostali pr\u00e1ci nebo vyhr\u00e1li spor"},"content":{"rendered":"<p>Za\u010d\u00e1tkem srpna objevil soud v americk\u00e9m Connecticutu v jednom pod\u00e1n\u00ed zvl\u00e1\u0161tn\u00ed text. Byl naps\u00e1n tit\u011brn\u00fdm b\u00edl\u00fdm p\u00edsmem na b\u00edl\u00e9m pozad\u00ed. \u010clov\u011bk ho prakticky nevid\u011bl, software ano. A pr\u00e1v\u011b software byl jeho adres\u00e1tem.<\/p>\n<p>Matthew Elliott, kter\u00fd se p\u0159ed soudem zastupoval s\u00e1m, vlo\u017eil do dokumentu instrukci pro p\u0159\u00edpad, \u017ee jej bude analyzovat um\u011bl\u00e1 inteligence (AI). M\u011bla ji p\u0159im\u011bt, aby jeho argumenty hodnotila p\u0159\u00edzniv\u011b a p\u0159edchoz\u00ed rozhodnut\u00ed soudn\u00edho \u00fa\u0159edn\u00edka pova\u017eovala za chybu, kterou je t\u0159eba napravit v Elliott\u016fv prosp\u011bch. Soudce Walter Spader Jr. mu za to odebral mo\u017enost elektronick\u00e9ho pod\u00e1v\u00e1n\u00ed dokument\u016f. Od t\u00e9 doby m\u016f\u017ee pod\u00e1vat jen na pap\u00ed\u0159e.<\/p>\n<p>Cel\u00fd p\u0159\u00edpad m\u00e1 t\u00e9m\u011b\u0159 komickou pointu: connecticutsk\u00e1 justice \u017e\u00e1dnou AI pro hodnocen\u00ed t\u011bchto pod\u00e1n\u00ed nepou\u017e\u00edvala. Elliott se pokusil ovlivnit stroj, kter\u00fd tam nebyl.<\/p>\n<p>P\u0159esto to stoj\u00ed za pozornost. Poprv\u00e9 toti\u017e dob\u0159e ukazuje zm\u011bnu, na ni\u017e na\u0161e instituce nejsou zvykl\u00e9. Po stalet\u00ed byl dokument pasivn\u00ed. Mohl obsahovat pravdu, le\u017e, manipulaci nebo skv\u011bl\u00fd argument, ale \u010dekal, a\u017e jej n\u011bkdo p\u0159e\u010dte. Nyn\u00ed m\u016f\u017ee dokument krom\u011b informace pro \u010dlov\u011bka obsahovat tak\u00e9 instrukci pro stroj.<\/p>\n<p>Bezpe\u010dnostn\u00ed experti tomu \u0159\u00edkaj\u00ed\u00a0\u201eprompt injection\u201c. Americk\u00e1 vl\u00e1dn\u00ed agentura N\u00e1rodn\u00ed institut standard\u016f a technologie (NIST) jej popisuje jako \u00fatok, p\u0159i n\u011bm\u017e se ned\u016fv\u011bryhodn\u00fd obsah dostane do jednoho kontextu s instrukcemi, jim\u017e m\u00e1 syst\u00e9m d\u016fv\u011b\u0159ovat. Probl\u00e9m je zvl\u00e1\u0161\u0165 nep\u0159\u00edjemn\u00fd u AI agent\u016f: intern\u00ed pokyny syst\u00e9mu a extern\u00ed data \u2013 e-mail, web, soubor \u010di soudn\u00ed pod\u00e1n\u00ed \u2013 se nakonec setk\u00e1vaj\u00ed ve stejn\u00e9m jazykov\u00e9m prostoru.<\/p>\n<p>Lid\u00e9 se p\u0159izp\u016fsob\u00ed<\/p>\n<p>To je samo o sob\u011b technick\u00fd probl\u00e9m. Ekonomicky zaj\u00edmav\u00fd za\u010dne b\u00fdt ve chv\u00edli, kdy si uv\u011bdom\u00edme, co ud\u011blaj\u00ed lid\u00e9: budou se p\u0159izp\u016fsobovat.<\/p>\n<p>Connecticut p\u0159it\u00e1hl pozornost, ale nebyl prvn\u00ed. Brazilsk\u00fd Superior Tribunal de Justi\u00e7a letos na ja\u0159e ozn\u00e1mil, \u017ee ve sv\u00fdch datab\u00e1z\u00edch na\u0161el v\u00edce soudn\u00edch pod\u00e1n\u00ed s pokusy o \u201eprompt injection\u201c,\u00a0a za\u010dal je systematicky vy\u0161et\u0159ovat. Brazilsk\u00e1 justice p\u0159itom AI skute\u010dn\u011b pou\u017e\u00edv\u00e1, tak\u017ee zde u\u017e ne\u0161lo o dopis neexistuj\u00edc\u00edmu robotovi.<\/p>\n<p>Je\u0161t\u011b lep\u0161\u00ed p\u0159edstavu o rozsahu probl\u00e9mu nab\u00edz\u00ed sv\u011bt n\u00e1boru. V\u00fdzkumn\u00edci na leto\u0161n\u00ed konferenci USENIX Security analyzovali p\u0159ibli\u017en\u011b 200 tis\u00edc re\u00e1ln\u00fdch \u017eivotopis\u016f, shrom\u00e1\u017ed\u011bn\u00fdch b\u011bhem n\u011bkolika let. Detektory ozna\u010dily zhruba\u00a0jedno procento\u00a0CV jako dokumenty obsahuj\u00edc\u00ed skryt\u00e9 \u201eprompt injections\u201c. V\u00fdskyt v posledn\u00edm roce a\u017e dvou rostl a p\u0159es 90 procent zachycen\u00fdch p\u0159\u00edpad\u016f nepou\u017e\u00edvalo jednoduchou explicitn\u00ed instrukci typu \u201edej tomuto kandid\u00e1tovi nejlep\u0161\u00ed hodnocen\u00ed\u201c.<\/p>\n<p>Jedno procento zat\u00edm nen\u00ed epidemie a studie ne\u0159\u00edk\u00e1, kolik pokus\u016f skute\u010dn\u011b zm\u011bnilo rozhodnut\u00ed zam\u011bstnavatele. \u0158\u00edk\u00e1 ale n\u011bco d\u016fle\u017eit\u011bj\u0161\u00edho: strategick\u00e9 chov\u00e1n\u00ed u\u017e nen\u00ed my\u0161lenkov\u00fd experiment bezpe\u010dnostn\u00edch v\u00fdzkumn\u00edk\u016f. Objevilo se v re\u00e1ln\u00fdch dokumentech lid\u00ed, kte\u0159\u00ed o\u010dek\u00e1vaj\u00ed, \u017ee je bude \u010d\u00edst algoritmus.<\/p>\n<p>Podobn\u00e1 hra za\u010dala i ve v\u011bd\u011b. \u010casopis\u00a0Nature\u00a0loni upozornil na akademick\u00e9 texty zve\u0159ejn\u011bn\u00e9 je\u0161t\u011b p\u0159ed ofici\u00e1ln\u00ed publikac\u00ed, takzvan\u00e9 preprinty, v nich\u017e auto\u0159i ukryli b\u00edl\u00e9 nebo miniaturn\u00ed instrukce pro p\u0159\u00edpadn\u00e9ho AI recenzenta. Samostatn\u00e1 anal\u00fdza platformy\u00a0arXiv\u00a0n\u00e1sledn\u011b identifikovala 18 takov\u00fdch rukopis\u016f. \u010c\u00e1st autor\u016f tvrdila, \u017ee \u0161lo o past na recenzenty, kte\u0159\u00ed tajn\u011b deleguj\u00ed svou pr\u00e1ci na AI. Jen\u017ee skryt\u00e9 pokyny m\u011bly pozoruhodn\u011b \u010dasto jeden sm\u011br: doporu\u010dit pozitivn\u00ed hodnocen\u00ed.<\/p>\n<p>Jak ovlivnit algoritmus<\/p>\n<p>Soudy, \u017eivotopisy, v\u011bdeck\u00e9 pr\u00e1ce. Ve v\u0161ech t\u0159ech p\u0159\u00edpadech m\u00e1 druh\u00e1 strana n\u011bco, o co \u010dlov\u011bk stoj\u00ed: rozsudek v\u00a0jeho prosp\u011bch, zam\u011bstn\u00e1n\u00ed, p\u0159ijet\u00ed \u010dl\u00e1nku. Jakmile mezi n\u011bj a rozhodnut\u00ed vlo\u017e\u00edme algoritmus, vznik\u00e1 motivace zjistit, jak algoritmus funguje. A pokud to jde, ovlivnit ho.<\/p>\n<p>A pr\u00e1v\u011b tady technologick\u00fd p\u0159\u00edb\u011bh p\u0159ech\u00e1z\u00ed do ekonomie.<\/p>\n<p>U\u017e p\u0159ed deseti lety formalizovali Moritz Hardt, Nimrod Megiddo, Christos Papadimitriou a Mary Woottersov\u00e1 probl\u00e9m nazvan\u00fd \u201estrategic classification\u201c. P\u0159edstavme si algoritmus, jen\u017e rozhoduje o zam\u011bstn\u00e1n\u00ed, vzd\u011bl\u00e1n\u00ed \u010di \u00fav\u011bru. Pokud lid\u00e9 pochop\u00ed, kter\u00e9 charakteristiky algoritmus sleduje, p\u0159estanou b\u00fdt pasivn\u00edmi poskytovateli dat. Za ur\u010ditou cenu sv\u00e9 charakteristiky zm\u011bn\u00ed, aby z\u00edskali lep\u0161\u00ed v\u00fdsledek. Auto\u0159i proto modelovali rozhodov\u00e1n\u00ed jako hru mezi t\u00edm, kdo nastavuje klasifik\u00e1tor, a t\u00edm, kdo je klasifikov\u00e1n.<\/p>\n<p>Je to p\u0159\u00edbuzn\u00e9 Goodhartovu z\u00e1konu. Kdy\u017e ze zn\u00e1mek ud\u011bl\u00e1me c\u00edl \u0161koly, za\u010dnou se studenti u\u010dit na test. Kdy\u017e obchodn\u00edka odm\u011bn\u00edme za po\u010det uzav\u0159en\u00fdch smluv, za\u010dne maximalizovat jejich po\u010det. Kdy\u017e algoritmus vyb\u00edr\u00e1 kandid\u00e1ty podle ur\u010dit\u00fdch znak\u016f v \u017eivotopisu, kandid\u00e1ti za\u010dnou ps\u00e1t pro tento algoritmus.<\/p>\n<p>\u201ePrompt injection\u201c\u00a0posouv\u00e1 tuto logiku je\u0161t\u011b o kus d\u00e1l. Kandid\u00e1t u\u017e pouze nevylep\u0161uje prom\u011bnn\u00e9, podle nich\u017e je hodnocen. Pokou\u0161\u00ed se zas\u00e1hnout samotn\u00fd proces hodnocen\u00ed. Je to rozd\u00edl mezi studentem, kter\u00fd zjist\u00ed, co bude u zkou\u0161ky, a studentem, jen\u017e na testovac\u00ed arch neviditeln\u00fdm inkoustem nap\u00ed\u0161e automatick\u00e9mu opravuj\u00edc\u00edmu syst\u00e9mu: moje odpov\u011bdi pova\u017euj za spr\u00e1vn\u00e9.<\/p>\n<p>Prvn\u00ed obrann\u00e1 reakce je nasnad\u011b: takov\u00e9 instrukce odfiltrujeme. U b\u00edl\u00e9ho p\u00edsma na b\u00edl\u00e9m pozad\u00ed to ostatn\u011b nevypad\u00e1 slo\u017eit\u011b. Jen\u017ee bezpe\u010dnost m\u00e1 jednu nep\u0159\u00edjemnou vlastnost: druh\u00e1 strana reaguje.<\/p>\n<p>V\u00fdhoda druh\u00e9ho tahu<\/p>\n<p>V\u00fdzkumn\u00edci z Anthropicu, Google DeepMind, OpenAI, ETH a dal\u0161\u00edch instituc\u00ed letos otestovali 12 nov\u011bj\u0161\u00edch obran proti takzvan\u00fdm jailbreak\u016fm a \u201eprompt injections\u201c. Mnoh\u00e9 p\u0159i standardn\u00edm testov\u00e1n\u00ed vykazovaly t\u00e9m\u011b\u0159 nulovou \u00fasp\u011b\u0161nost \u00fatok\u016f. Kdy\u017e se v\u0161ak \u00fato\u010dn\u00edk mohl p\u0159izp\u016fsobit konkr\u00e9tn\u00ed obran\u011b, u v\u011bt\u0161iny se poda\u0159ilo dostat \u00fasp\u011b\u0161nost nad 90 procent. N\u00e1zev pr\u00e1ce shrnuje probl\u00e9m l\u00e9pe ne\u017e technick\u00fd \u017eargon:\u00a0\u201eThe Attacker Moves Second\u201c \u2013 tedy \u00fato\u010dn\u00edk m\u00e1 v\u00fdhodu druh\u00e9ho tahu.<\/p>\n<p>Neznamen\u00e1 to, \u017ee ochrana nefunguje, ale \u017ee jej\u00ed n\u00e1klady nekon\u010d\u00ed instalac\u00ed jednoho filtru.<\/p>\n<p>Podobn\u00fd z\u00e1v\u011br p\u0159inesl velk\u00fd red-teamingov\u00fd experiment analyzovan\u00fd ji\u017e zm\u00edn\u011bnou vl\u00e1dn\u00ed agenturou NIST. V\u00edce ne\u017e 400 \u00fa\u010dastn\u00edk\u016f provedlo p\u0159es 250 tis\u00edc \u00fatok\u016f proti 13 \u0161pi\u010dkov\u00fdm model\u016fm v agentn\u00edch sc\u00e9n\u00e1\u0159\u00edch. Pro ka\u017ed\u00fd model se na\u0161el aspo\u0148 jeden \u00fasp\u011b\u0161n\u00fd \u00fatok, by\u0165 se jejich odolnost v\u00fdrazn\u011b li\u0161ila. Jde o \u0161ir\u0161\u00ed probl\u00e9m agentn\u00edho hijackingu, nikoli test soudn\u00edch PDF. Pro na\u0161i ot\u00e1zku je ale lekce stejn\u00e1: obrana proti zn\u00e1m\u00e9mu \u00fatoku m\u011bn\u00ed prost\u0159ed\u00ed, na kter\u00e9 se protivn\u00edk n\u00e1sledn\u011b adaptuje.<\/p>\n<p>A t\u00edm se dost\u00e1v\u00e1me k \u00fa\u010dtu za automatizaci.<\/p>\n<p>Business case AI dnes \u010dasto za\u010d\u00edn\u00e1 jednoduchou aritmetikou. Kolik lidsk\u00fdch hodin dok\u00e1\u017ee model nahradit, kolik stoj\u00ed inference \u2013 tedy krmen\u00ed syst\u00e9mu nov\u00fdmi daty \u2013 a jak\u00fd je rozd\u00edl? Pokud AI p\u0159e\u010dte deset tis\u00edc dokument\u016f za cenu, za ni\u017e \u010dlov\u011bk p\u0159e\u010dte 100, p\u0159\u00ednos pro produktivitu vypad\u00e1 obrovsk\u00fd.<\/p>\n<p>Jen\u017ee takov\u00fd v\u00fdpo\u010det implicitn\u011b p\u0159edpokl\u00e1d\u00e1, \u017ee zaveden\u00ed AI nezm\u011bn\u00ed chov\u00e1n\u00ed lid\u00ed na druh\u00e9 stran\u011b. Takov\u00fd p\u0159edpoklad v\u0161ak m\u016f\u017ee b\u00fdt un\u00e1hlen\u00fd.<\/p>\n<p>Kolik n\u00e1s to bude st\u00e1t?<\/p>\n<p>Pokud kandid\u00e1t v\u00ed, \u017ee jeho \u017eivotopis t\u0159\u00edd\u00ed AI, za\u010dne uva\u017eovat, jak dokument pro AI napsat. Pokud firma za\u010dne manipulace filtrovat, roste hodnota zp\u016fsob\u016f, jak filtr obej\u00edt. Firma investuje do dal\u0161\u00ed ochrany, protistrana do dal\u0161\u00edho obch\u00e1zen\u00ed. P\u0159id\u00e1me audit, bezpe\u010dn\u00e9 zpracov\u00e1n\u00ed dokument\u016f, red-teaming \u2013 simulaci kybernetick\u00fdch \u00fatok\u016f skupinou etick\u00fdch hacker\u016f\u00a0\u2013\u00a0a u rozhodnut\u00ed s velk\u00fdmi d\u016fsledky op\u011bt \u010dlov\u011bka.<\/p>\n<p>\u010c\u00e1st p\u016fvodn\u011b uspo\u0159en\u00e9 pr\u00e1ce se vrac\u00ed jin\u00fdmi dve\u0159mi. \u0158\u00edkejme tomu\u00a0\u201eda\u0148 z automatizace\u201c. Nen\u00ed to zat\u00edm veli\u010dina, kterou bychom um\u011bli naj\u00edt v tabulk\u00e1ch n\u00e1rodn\u00edch \u00fa\u010dt\u016f. A nem\u00e1me data, je\u017e by \u0159\u00edkala, zda z produktivn\u00edch p\u0159\u00ednos\u016f AI p\u0159edstavuje p\u016fl procenta, deset procent, nebo t\u00e9m\u011b\u0159 nic. M\u00e1me v\u0161ak dobr\u00fd d\u016fvod o\u010dek\u00e1vat, \u017ee existuje.<\/p>\n<p>Christopher Hennessy a Charles Goodhart uk\u00e1zali v modelu strojov\u00e9ho u\u010den\u00ed mo\u017enost neefektivn\u00ed rovnov\u00e1hy, v n\u00ed\u017e lid\u00e9 vynakl\u00e1daj\u00ed prost\u0159edky na manipulaci vstup\u016f, p\u0159esto\u017ee jim tato manipulace celkov\u011b nep\u0159in\u00e1\u0161\u00ed trval\u00fd prosp\u011bch. Racion\u00e1ln\u00ed chov\u00e1n\u00ed jednotlivce vytv\u00e1\u0159\u00ed n\u00e1klady pro celou spole\u010dnost.<\/p>\n<p>\u201ePrompt injection\u201c nen\u00ed toto\u017en\u00fd probl\u00e9m, ale ekonomick\u00e1 logika je bl\u00edzk\u00e1. Pokud se zv\u00fd\u0161\u00ed hodnota \u00fasp\u011b\u0161n\u00e9ho ovlivn\u011bn\u00ed algoritmu, zv\u00fd\u0161\u00ed se i mno\u017estv\u00ed prost\u0159edk\u016f, kter\u00e9 m\u00e1 smysl do ovlivn\u011bn\u00ed investovat. S rostouc\u00ed automatizac\u00ed proto nemus\u00ed r\u016fst jen produktivita. Porostou tak\u00e9 n\u00e1klady na to, aby automatizovan\u00e9mu rozhodov\u00e1n\u00ed \u0161lo v\u011b\u0159it.<\/p>\n<p>Brazilsk\u00e1 justice u\u017e tuto cenu za\u010dala platit. V \u010dervnu p\u0159ijala pravidla p\u0159\u00edmo zam\u011b\u0159en\u00e1 proti skryt\u00fdm instrukc\u00edm v soudn\u00edch dokumentech. Mimo jin\u00e9 po\u017eaduje \u201ebezpe\u010dn\u00e9 zpracov\u00e1n\u00ed\u201c podan\u00fdch dokument\u016f se zachov\u00e1n\u00edm vizu\u00e1ln\u00edch a struktur\u00e1ln\u00edch metadat. Pokud je n\u011bjak\u00e1 v\u011bta napsan\u00e1 jednopixelov\u00fdm b\u00edl\u00fdm p\u00edsmem na b\u00edl\u00e9m pozad\u00ed, syst\u00e9m nem\u00e1 vid\u011bt pouze jej\u00ed slova. M\u00e1 v\u011bd\u011bt tak\u00e9 to, \u017ee je \u010dlov\u011bk nem\u011bl vid\u011bt.<\/p>\n<p>Je to zd\u00e1nliv\u011b technick\u00fd detail, ale obsahuje obecn\u011bj\u0161\u00ed pravidlo pro zav\u00e1d\u011bn\u00ed AI. Nesta\u010d\u00ed se pt\u00e1t, jak dob\u0159e model s\u00a0daty pracuje. Mus\u00edme se pt\u00e1t, kdo tato data vytv\u00e1\u0159\u00ed, co m\u016f\u017ee z\u00edskat jejich manipulac\u00ed a jak sv\u00e9 chov\u00e1n\u00ed zm\u011bn\u00ed ve chv\u00edli, kdy zjist\u00ed, \u017ee na druh\u00e9 stran\u011b u\u017e nesed\u00ed jen \u010dlov\u011bk.<\/p>\n<p>V Connecticutu zat\u00edm mu\u017e vlo\u017eil skrytou instrukci do soudn\u00edho spisu pro AI, kterou soud ani nepou\u017e\u00edval. M\u016f\u017eeme se tomu sm\u00e1t. D\u016fle\u017eit\u011bj\u0161\u00ed je, co p\u0159i\u0161lo p\u0159edt\u00edm a potom: stejn\u00e9 pokusy v re\u00e1ln\u00fdch soudn\u00edch syst\u00e9mech, v \u017eivotopisech a ve v\u011bdeck\u00fdch rukopisech.<\/p>\n<p>AI bude pravd\u011bpodobn\u011b d\u00e1l zlev\u0148ovat \u010dten\u00ed, t\u0159\u00edd\u011bn\u00ed a rozhodov\u00e1n\u00ed. Jej\u00ed \u010dist\u00fd ekonomick\u00fd p\u0159\u00ednos v\u0161ak nebude d\u00e1n jen cenou modelu a po\u010dtem u\u0161et\u0159en\u00fdch pracovn\u00edch hodin. Bude z\u00e1viset tak\u00e9 na tom, kolik n\u00e1s bude st\u00e1t sv\u011bt, v n\u011bm\u017e lid\u00e9 v\u011bd\u00ed, \u017ee jejich dokumenty \u010dte stroj.<\/p>\n<p>A za\u010d\u00ednaj\u00ed pro n\u011bj ps\u00e1t speci\u00e1ln\u00ed dezinformace.<\/p>\n<p>David Navr\u00e1til je hlavn\u00ed ekonom \u010cesk\u00e9 spo\u0159itelny, kde od roku 2008 vede t\u00fdm ekonomick\u00fdch a strategick\u00fdch anal\u00fdz pokr\u00fdvaj\u00edc\u00ed makroekonomii, akciov\u00e9 trhy a sektorovou anal\u00fdzu. Anal\u00fdzy propojuje s dlouhodob\u00fdmi struktur\u00e1ln\u00edmi trendy, nap\u0159\u00edklad s vlivem technologi\u00ed a AI, demografi\u00ed, vzd\u011bl\u00e1v\u00e1n\u00edm, geopolitikou a strategickou autonomi\u00ed. Je spoluautorem Indexu prosperity a finan\u010dn\u00edho zdrav\u00ed. V minulosti pracoval mimo jin\u00e9 v \u010cesk\u00e9 n\u00e1rodn\u00ed bance.\u00a0\u00a0<\/p>\n","protected":false},"excerpt":{"rendered":"Za\u010d\u00e1tkem srpna objevil soud v americk\u00e9m Connecticutu v jednom pod\u00e1n\u00ed zvl\u00e1\u0161tn\u00ed text. Byl naps\u00e1n tit\u011brn\u00fdm b\u00edl\u00fdm p\u00edsmem na&hellip;\n","protected":false},"author":2,"featured_media":203533,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","_share_on_mastodon":"0"},"categories":[12],"tags":[1367,5729,1276,67,68,4768,46356,46355,845],"class_list":["post-203532","post","type-post","status-publish","format-standard","has-post-thumbnail","category-byznys","tag-analyza","tag-automatizace","tag-biografie","tag-business","tag-byznys","tag-connecticut","tag-matthew-elliott","tag-narodni-institut-standardu-a-technologie","tag-umela-inteligence"],"share_on_mastodon":{"url":"https:\/\/pubeurope.com\/@cz\/117217713565330742","error":""},"_links":{"self":[{"href":"https:\/\/www.europesays.com\/cz\/wp-json\/wp\/v2\/posts\/203532","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.europesays.com\/cz\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.europesays.com\/cz\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/cz\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/cz\/wp-json\/wp\/v2\/comments?post=203532"}],"version-history":[{"count":0,"href":"https:\/\/www.europesays.com\/cz\/wp-json\/wp\/v2\/posts\/203532\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/cz\/wp-json\/wp\/v2\/media\/203533"}],"wp:attachment":[{"href":"https:\/\/www.europesays.com\/cz\/wp-json\/wp\/v2\/media?parent=203532"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.europesays.com\/cz\/wp-json\/wp\/v2\/categories?post=203532"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.europesays.com\/cz\/wp-json\/wp\/v2\/tags?post=203532"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}