DIGITAL TRANSFORMATION OF LABOR PROTECTION IN KAZAKHSTAN BASED ON ARTIFICIAL INTELLIGENCE
DOI:
https://doi.org/10.70842/rniiot.2026.1.1.001Keywords:
artificial intelligence, occupational safety, digital transformation, Safety 4.0, machine learning, predictive analytics, computer vision, occupational injuries, Kazakhstan, Industry 4.0.Abstract
This article examines the process of digital transformation of the labor protection
system in the Republic of Kazakhstan using artificial intelligence (AI) technologies.
Based on the analysis of statistical data for 2021-2025 and cases of the largest
industrial enterprises - Kazzink LLP, Eurasian Resources Group (ERG), JSC NAC
Kazatomprom, the effectiveness of the transition from reactive towards a predictive
security management model. Key government initiatives are being considered,
including the "Safe Work Concept for 2024-2030" and the "Digital Workplace Map"
project. The technological, economic and ethical barriers to the introduction of AI
are analyzed. The results of the study showed a decrease in the injury rate from
0.11 to 0.08 per 1,000 employees, with a strong correlation with an increase in the
share of enterprises using digital monitoring (r = -0.97). A set of recommendations
is proposed for scaling SafetyTech solutions to achieve the goals of the Vision Zero
strategy by 2030.
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Copyright (c) 2026 DIGITAL TRANSFORMATION OF LABOR PROTECTION IN KAZAKHSTAN BASED ON ARTIFICIAL INTELLIGENCE
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