Dirbtinio intelekto integracija į žinių valdymą: Lietuvos verslo organizacijų atvejis
Šiame straipsnyje pristatomas tyrimas, kuriuo siekta nustatyti, kaip dirbtinis intelektas (DI) gali būti integruotas į žinių valdymo (ŽV) procesus verslo organizacijose – nuo žinių kūrimo, saugojimo ir sklaidos iki jų naudojimo, kartu sprendžiant praktinius iššūkius ir problemas, susijusias su DI diegimu. Tyrimas grindžiamas kokybiniu tyrimo požiūriu – atlikti pusiau struktūruoti interviu su 13 ekspertų, turinčių profesinės patirties DI, ŽV ir skaitmeninės transformacijos srityse. Interviu duomenys analizuoti taikant turinio analizę, siekiant atskleisti DI taikymo skirtinguose ŽV procesuose ypatumus ir juos lemiančias organizacines sąlygas. Tyrimo rezultatai atskleidė, kad DI gali būti taikomas įvairiuose ŽV procesuose, įskaitant žinių kūrimą, saugojimą, paiešką, dalijimąsi ir taikymą, t. y. DI gali sudaryti galimybes efektyviau apdoroti informaciją, struktūruoti ir apibendrinti žinias, generuoti idėjas, palengvinti prieigą prie organizacinių žinių ir palaikyti sprendimų priėmimą. Nustatyta, kad DI integravimo rezultatai priklauso nuo organizacijos technologinio ir organizacinio pasirengimo, darbuotojų kompetencijų, duomenų kokybės, organizacinės kultūros ir tinkamų valdymo mechanizmų. Tyrimas taip pat išryškino duomenų privatumo ir saugumo, DI generuojamos informacijos patikimumo, algoritminio šališkumo, skaidrumo ir darbuotojų kompetencijų iššūkius. Tyrimas papildo žinių valdymo ir DI sąveikos tyrimus, pateikdamas empirinių įžvalgų apie DI integravimo į kasdienius ŽV procesus Lietuvos verslo organizacijose galimybes ir ribojančias sąlygas.
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