National Artificial Intelligence Strategy 2024-2025 Action Plan (Turkey)

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.

  • Authority: Government of Turkey
  • Jurisdiction: Other countries
  • Collections: Miscellaneous documents
  • Most recent activity: Enacted
  • Most recent activity date: 2024-07-24

Risk subdomain coverage

Minimal coverage — Brief mention but no specific mitigations, recommendations or governance measures relating to the risk subdomain are described.

  • AI system security vulnerabilities
  • Cyberattacks, weapon development or use
  • Governance failure
  • Lack of transparency or interpretability

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.

Sector coverage

Good coverage — Comprehensive governance measures or mitigations with clear procedures relating to the sector are explicitly described.

  • Information
  • Scientific Research & Development Services
  • Educational Services
  • Public Administration (excl. National Security)

Minimal coverage — Brief mention but no specific mitigations, recommendations or governance measures relating to the sector are described.

  • Professional & Technical Services
  • National Security

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.

Legislative Status

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.

Actors

Proposer

  • Entity Types: AI_Governance_Actor
  • Entities: Government of Turkey; Ministry of Industry and Technology; Presidential Digital Transformation Office; Scientific and Technological Research Council of Turkey (TÜBİTAK)
  • Summary: The document is authored by the Government of Turkey as indicated in the title 'National Artificial Intelligence Strategy 2024-2025 Action Plan (Turkey)'. Multiple government ministries and agencies are listed as responsible institutions for proposing and implementing various actions.

Target

  • Entity Types: AI_Developer, AI_Deployer, AI_Governance_Actor, Affected_Stakeholder
  • Entities: Universities; Private education institutions; Public institutions; SMEs; Technology Development Zones; National and international companies operating in the field of artificial intelligence in Turkey; Startups; Corporate companies; Global technology companies
  • Summary: The action plan targets multiple entity types including AI developers (companies developing AI systems), deployers (public institutions implementing AI), educational institutions training AI workforce, and SMEs adopting AI solutions. The scope is broad, covering both public and private sectors.

Enforcer

  • Entity Types: AI_Governance_Actor
  • Entities: Ministry of Industry and Technology; Presidential Digital Transformation Office; Turkish Standards Institute; Scientific and Technological Research Council of Turkey (TÜBİTAK); Vocational Qualifications Authority; Personal Data Protection Authority
  • Summary: Various government ministries and agencies are designated as responsible institutions for implementing, monitoring, and enforcing the action plan. The Turkish Standards Institute and TÜBİTAK are specifically mentioned for certification and audit functions.

Monitor

  • Entity Types: AI_Governance_Actor
  • Entities: Presidential Digital Transformation Office; Scientific and Technological Research Council of Turkey (TÜBİTAK); Turkish Statistical Institute; Presidential Human Resources Office; Ministry of Industry and Technology; International AI Studies Monitoring and Coordination Committee
  • Summary: Multiple government agencies are designated for monitoring functions including tracking international AI developments, conducting impact assessments, maintaining inventories, and evaluating workforce transformation. A specific monitoring committee is to be established for international AI studies.

AI Lifecycle Stages

Lifecycle stages covered by the documents, as defined in the OECD Framework for the Classification of AI Systems

  • Plan and Design
  • Collect and Process Data
  • Build and Use Model
  • Verify and Validate
  • Deploy
  • Operate and Monitor

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.

Technical Scope

Terms relating to technical scope that are mentioned or implicitly referenced in the document

  • AI Models
  • AI Systems
  • Generative AI

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.

https://cbddo.gov.tr/SharedFolderServer/Genel/File/UlusalYapayZekaStratejisi2024-2025EylemPlani.pdf
https://agora.eto.tech/instrument/2039
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Document data from AGORA, CSET Emerging Technology Observatory.