Abstract
This article examines the impact and risks of disinformation generated by artificial intelligence (AI) on Kazakh society. Currently, AI-fake analysis is one of the newest and least explored areas of media research in Kazakhstan. The study aims to determine the influence of AI-generated disinformation on public perception and assess its associated risks. Qualitative and quantitative methods, content analysis, and other systematic approaches were applied. Eleven disinformation samples were analyzed, enabling the creation of an AI-fake typology and assessment of their spread rate, audience reception, and frequency of information risks. The scientific novelty lies in being one of the first systematic studies of AI-fakes in Kazakhstan. Specific examples were comprehensively collected and categorized. Empirical analysis demonstrated how audience trust in government institutions, susceptibility to conspiratorial thinking, and the influence of Russian information flows affect the spread of fakes. Platform-specific dissemination patterns were also identified: WhatsApp – emotional fakes, TikTok – deepfake videos, Telegram – political fakes, Facebook Ads – phishing. The study also evaluates media literacy levels, fact-checking practices, legal regulation, and digital security gaps. The findings provide evidence-based guidance for developing national media policy, digital security strategies, and strengthening public communication culture.