ARTIFICIAL INTELLIGENCE AS A DIGITAL EQUALIZER: ELIMINATING INEQUALITIES IN KAZAKHSTAN
The current stage of Kazakhstan's development demonstrates a paradox: on the one hand, the state is actively investing in digitalization, introducing e-government and financial monitoring systems; on the other hand, social inequality persists and in many respects deepens. The concentration of wealth in the hands of a narrow elite group, reinforced by offshore schemes and opaque financial flows, creates persistent barriers to social development and fair distribution of resources. The article proposes an innovative concept of artificial intelligence empowered to automatically identify, confiscate and redistribute the assets of the super-rich. Unlike traditional taxation and social transfer instruments, which are subject to human error and corruption, the “digital dictator” acts as a supranational and suprastate algorithm that minimizes subjectivity and ensures strict implementation of the principles of social justice. The technical feasibility of the concept is considered through the prism of machine learning algorithms, big data analysis, blockchain technologies and smart contracts. These tools allow not only to record property imbalances, but also to ensure the immutability of decisions on redistribution in the digital infrastructure. From a scientific point of view, the article forms an interdisciplinary field that unites political philosophy, digital economics, legal theory and sociotechnics. The practical significance of the work lies in modeling the potential impact of the confiscation of elite assets on the Gini index and the social structure of Kazakhstan.
Institutions
- ArcelorMittal (Canada) (CA)
- Karaganda State Industrial University (KZ)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-08-31
- DOI
- https://doi.org/10.5281/zenodo.17087732
- Primary Topic
- Geochemistry and Geologic Mapping
- Type
- article
- Field-Weighted Citation Impact
- 0.00