Implements mechanisms to attract AI talent, including increased support for AI research and education. Develops national occupational AI standards and vocational training and expands AI data infrastructures, international cooperation, and regulatory frameworks to enhance the AI workforce.
Minimal coverage — Brief mention but no specific mitigations, recommendations or governance measures relating to the risk subdomain are described.
All other risk subdomains had no coverage in this document.
Risk Coverage Summary
The document has minimal coverage of risk domains, with limited focus on governance structures (6.5) and workforce transformation (6.2). Most risk subdomains are not addressed as the document is primarily a strategic action plan focused on AI development, education, and infrastructure rather than risk mitigation.
Good coverage — Comprehensive governance measures or mitigations with clear procedures relating to the sector are explicitly described.
Minimal coverage — Brief mention but no specific mitigations, recommendations or governance measures relating to the sector are described.
All other sectors had no coverage in this document.
Sectors Summary
This is a national AI strategy action plan that governs AI development and deployment across multiple sectors. Primary focus is on Educational Services (extensive curriculum development and training programs), Public Administration (government AI implementation), and Scientific Research and Development Services (AI research infrastructure). Secondary coverage includes Information sector (AI development), Professional and Technical Services (AI consulting and standards), and various other sectors through workforce transformation initiatives.
Soft Law
Legislative Status Summary
This is a government action plan that uses predominantly voluntary and aspirational language ('will be implemented', 'will be developed', 'will be established') without binding legal obligations, enforcement mechanisms, or penalties for non-compliance. It represents strategic policy guidance rather than legally enforceable regulation.
Proposer
Target
Enforcer
Monitor
Lifecycle stages covered by the documents, as defined in the OECD Framework for the Classification of AI Systems
AI Lifecycle Summary
The document covers multiple AI lifecycle stages with primary focus on Plan and Design (workforce planning, curriculum development, infrastructure planning), Build and Use Model (developing Turkish LLMs, generative AI models), and Deploy (implementing AI in public institutions, certification programs). It also addresses Operate and Monitor through ongoing training programs, impact assessments, and monitoring mechanisms.
Terms relating to technical scope that are mentioned or implicitly referenced in the document
Technical Scope Summary
The document explicitly mentions AI models, AI systems, and generative AI. It focuses on developing Turkish large language models (LLMs) and large action models (LAMs). There is no explicit mention of frontier AI, general purpose AI, task-specific AI, foundation models, predictive AI, or specific compute thresholds. Open-weight models are not explicitly discussed.
Document data from AGORA, CSET Emerging Technology Observatory.