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Abstract
Annotatsiya Ushbu maqolada sun’iy intellektning ta’lim sifatini baholashdagi ishonchliligi va xolisligi muammolari tahlil qilinadi. Avtomatlashtirilgan baholash tizimlari va generativ SI vositalarining samaradorligi ko‘rib chiqilib, algoritmik biasning asosiy sabablari (trening ma’lumotlaridagi nomutanosiblik, madaniy-lingvistik farqlar, “qora quti” effekti) aniqlangan. Tadqiqot natijalari shuni ko‘rsatadiki, SI baholashda xatolik va noxolislik ehtimoli yuqori bo‘lib, ayniqsa ozchilik guruhlari uchun adolatsizlik kuzatiladi. Muammolarni yumshatish uchun ma’lumotlar bazasini diversifikatsiya qilish, algoritmlarni audit qilish, fairness metrikalarini qo‘llash va inson nazoratini joriy etish taklif etiladi. Maqola ta’limda SI ni adolatli qo‘llash bo‘yicha amaliy tavsiyalar beradi.
References
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