Kazakhstan Public Sector AI Risks: Analysis of Legal and Institutional Factors

A qualitative research article analyzing potential negative effects of artificial intelligence in Kazakhstan's public sector. The study combines normative-institutional analysis of legal frameworks with secondary analysis of 53 semi-structured interviews with civil servants. The work, authored by Malika Buribayeva and licensed under CC-BY-4.0, was last updated on 2026-05-25.

Use Cases

• Analyzing institutional risk trajectories based on the study's five identified risk groups (political-legal, data-related, organizational, explainability, market).
• Studying the framing of AI as a 'tool' in legal constructs based on the analysis of Kazakhstan's AI law and related projects.
• Examining the role of centralized data infrastructures like Smart Data Ukimet and the Digital Family Card in algorithmic stratification.
• Investigating governance models and responsibility fragmentation based on the study's findings on KPI-based AI agent deployment.

Strengths

• Analysis is based on a specific legal framework (Law of the Republic of Kazakhstan 'On Artificial Intelligence').
• Empirical component includes secondary analysis of 53 semi-structured interviews with civil servants.
• The document is openly licensed under CC-BY-4.0.

Limitations

• The dataset is a single 18.7 KB DOCX file, indicating a limited scope of raw data.
• Row count and column-level documentation are absent; the content is a research article, not a structured data table.
• Freshness should be verified as the last update date is in the future (2026-05-25).

Provenance

Source

figshare

Collection Method

Normative-institutional analysis combined with secondary qualitative analysis of interview transcripts.

Freshness

Last updated 2026-05-25 06:03:17; freshness should be verified.

Geography

Kazakhstan