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Jild 5 Son 2 (2026)
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ALGORITMLAR DAVRIDA YETAKCHILIK: MENEJERLARGA SUN’IY INTELLEKT BOSHQAR UVI UCHUN ZARUR BO‘LGAN YANGI KO‘NIKMALAR

DOI 10.55439/lehc/vol5iss2/299 Google Scholar Google Scholar Betlar 55-69

Nashr etilgan 2026-06-29

Mualliflar
Sirojiddinova Shahrizoda Davronovna
Tashkilot
"Ipak yo‘li" turizm va madaniy meros xalqaro universiteti talabasi
PDF (inglizcha)

Annotatsiya

Sun’iy intellektning (SI) biznes jarayonlariga jadal kirib borishi deyarli barcha sohalardagi boshqaruv funksiyalarini tubdan o‘zgartirdi. Ushbu nazariy tadqiqot bugungi kunda yetakchilar o‘z tashkilotlarida SI tizimlarini muvaffaqiyatli boshqarishlari uchun qanday kompetensiyalarga ega bo‘lishi kerakligini aniqlashga qaratilgan. 2015– 2024 yillarda chop etilgan 34 turdagi tadqiqot hujjatlari – jumladan, taqriz qilingan ilmiy maqolalar, amaliyotchilar hisobotlari, hukumat siyosatiga oid hujjatlar va fundamental 55 monografiyalarni tizimli tahlil qilish (narrative review) orqali biz o‘z hissamiz sifatida Algoritmik yetakchilik kompetensiyasi (ALC) modelini taqdim etamiz. ALC modeli uchta yo‘nalishni o‘z ichiga oladi: (1) Algoritmik savodxonlik, (2) Etik mas’uliyat va (3) Insonga yo‘naltirilgan ko‘mak. Ushbu uchta kompetensiya sohasi o‘zaro bog‘liq bo‘lib, bir-birini qo‘llab-quvvatlaydi. ALC modeli tashkiliy xulq-atvor, ma’lumotlar fani etikasi va SI boshqaruvi adabiyotlariga nazariy jihatdan asoslangan hamda mavjud empirik tadqiqotlar va muhim tartibga soluvchi normativ hujjatlar, jumladan, yangi qabul qilingan Yevropa Ittifoqining Sun’iy intellekt to‘g‘risidagi qonuni (2024) bilan muvofiqlashtirilgan. Biz, shuningdek, har bir kompetensiya sohasini tasdiqlovchi dalillarni ko‘rib chiqamiz, ALC modelini avvalgi tuzilmalar bilan taqqoslaymiz hamda uning yetakchilikni rivojlantirish dasturlari, HR siyosati va tashkilot miqyosidagi SI boshqaruv tuzilmalari uchun ahamiyatini belgilab beramiz. Ushbu tadqiqot birlamchi empirik ma’lumotlarning yetishmasligi kabi cheklovlarni tan oladi va ALC modelini tasdiqlash uchun kelajakdagi miqdoriy hamda sifatli tadqiqotlarning tizimli rejasini taklif etadi.

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