CASE-01 · Strategic initiative
Readiness Assessment Methodology for AI (UNESCO RAM) in Kazakhstan
A national AI readiness audit across five dimensions, ending in a country report with 20–30 policy recommendations.
- Role
- Project lead
- Period
- 6 months
- Client
- UNESCO
Key figures
- assessment dimensions
- 5assessment dimensions
- control questions
- 180+control questions
- policy recommendations
- 20–30policy recommendations
This project aims at a comprehensive audit of the national AI ecosystem to develop ethical and effective digital transformation strategies.
General information
- Project lead
- Dr. Rustem Bigari, PhD
- Client / partner
- UNESCO
- Duration
- 6 months
- Methodology
- UNESCO Readiness Assessment Methodology (RAM)
Key research areas
5 key dimensions, over 180 control questions.
- Legal
- Analysis of data protection laws, AI ethical frameworks, and tech procurement regulations.
- Socio-cultural
- Assessment of public trust in AI, inclusivity, and environmental impact.
- Scientific-educational
- Audit of R&D potential, talent availability, and AI ethics integration in curricula.
- Economic
- Labor market analysis, skills assessment, and AI's contribution to the economy.
- Technological
- Verification of infrastructure, computing power, and public data quality.
Expected outcomes
- Diagnostic report
- Detailed cross-section of the AI ecosystem (desk research).
- Synthetic report
- Summary of multi-stakeholder consultations (public sector, business, science, civil society).
- National country report
- Final document (40–70 pages) with 20–30 policy recommendations and a roadmap.