DEVELOPING AN ARTIFICIAL INTELLIGENCE MODEL FOR DETECTING TOXIC (HARMFUL) CONTENT IN TEXTS

The article analyzes the theoretical and methodological foundations of building an artificial intelligence model for the automatic detection of toxic content in texts, namely insulting, degrading, threatening and hate-inciting statements. Taking into account the features of Uzbek as a low-resource language, the parallel use of the Latin and Cyrillic scripts and the phenomenon of code-switching with Russian, a conceptual model architecture for Uzbek-language texts is proposed.