RAQAMLI KUZATUV VOSITALARINI QO'LLASHDA SHAXSIY HAYOT DAXLSIZLIGINI TA'MINLASHDA SUN'IY INTELLEKTNING O'RNI
DOI:
https://doi.org/10.47390/hum-i5v2y2026/n03Ключевые слова:
sun'iy intellekt, raqamli kuzatuv, shaxsiy hayot daxlsizligi, yuz tanish, xulq-atvor tahlili, federated learning, differential privacy, axloqiy AIАннотация
Ushbu maqolada zamonaviy sun'iy intellekt (AI) texnologiyalarining raqamli kuzatuv tizimlarida qo'llanilishi va ularning shaxsiy hayot daxlsizligiga ta'siri keng qamrovli tahlil qilinadi. Yuz tanish (facial recognition), xulq-atvor tahlili (behavioral analytics), bashoratli kuzatuv (predictive surveillance) va ko'p modalli biometrik identifikatsiya tizimlari xavfsizlikni oshirish bilan birga ma'lumotlar maxfiyligiga jiddiy xavf tug'dirishini ko'rsatadi. Maqolada Federated Learning, Differential Privacy va xavfsiz ko'p tomonlama hisoblash (SMPC) texnologiyalari tahlil qilinib, shu asosda Privacy-Preserving AI (maxfiylikni saqlovchi sun'iy intellekt) arxitekturasini kuzatuv tizimlariga integratsiya qilish yo'llari ilmiy jihatdan asoslanadi
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