The article reveals the problems of comparing the terms "big user data" and "personal data" and their regulatory application in the field of financial risk assessment using artificial intelligence. The article discusses the types of big data analyzed in credit institutions and the main ways of using them. The legal nature of the possibility of using big data and analyzing it using software based on the mechanisms of so-called machine learning (artificial intelligence) is analyzed. The article reveals the regulatory and legal problems in this area and examines them from the practical side.
financial risks, personal data, big user data, artificial intelligence, banking law.
1. Federal'nyy zakon "O personal'nyh dannyh" ot 27.07.2006 N 152-FZ // SPS Garant.
2. Federal'nyy zakon «O personal'nyh dannyh»: nauchno-prakticheskiy kommentariy. Pod redakciey zamestitelya rukovoditelya Federal'noy sluzhby po nadzoru v sfere svyazi, informacionnyh tehnologiy i massovyh kommunikaciy A.A. Priezzhevoy. — M.: Redakciya «Rossiyskoy gazety», 2015. Vyp. 11. — 176 s.
3. Poyasnitel'naya zapiska k proektu federal'nogo zakona «O vnesenii izmeneniy v Federal'nyy zakon «Ob informacii, informacionnyh tehnologiyah i o zaschite informacii» // (https://sozd.duma.gov.ru/bill/571124-7) (data obrascheniya 16.02.2024 g.).
4. Tekst proekta federal'nogo zakona «O vnesenii izmeneniy v Federal'nyy zakon «Ob informacii, informacionnyh tehnologiyah i o zaschite informacii» // https://sozd.duma.gov.ru/bill/571124-7 (data obrascheniya 16.02.2024 g.).