Article

Mapping the Governance Landscape of Artificial Intelligence Through OECD Policy Analysis

---

Abstract

As artificial intelligence (AI) continues to transform economies, public institutions, and societal systems, the demand for robust and inclusive governance frameworks has become increasingly urgent. This study analyzes 1,884 AI policy initiatives recorded in the OECD AI Policy Observatory to map the strategic orientations and institutional characteristics of national AI governance across OECD member countries. The analysis focuses on five key dimensions: policy volume, thematic focus, operational priorities, ethical principle integration, and evaluation mechanisms. Results reveal that Luxembourg (132 policies), Germany (120), and France (108) lead in policy activity, reflecting higher levels of institutional engagement. Thematically, 924 initiatives are linked to national AI strategies, while operationally, skills development (434), AI in public services (421), and R&D funding (409) emerge as dominant areas. Ethical principles such as transparency (481), human-centered values (431), and accountability (404) are commonly referenced, yet 7.4% of policies include no ethical consideration. Moreover, only 23.7% of policies involve private sector funding, and just 9.3% incorporate formal evaluation mechanisms. These findings highlight significant governance gaps in stakeholder collaboration and policy accountability. The study contributes to the growing literature on comparative AI policy and calls for more adaptive, inclusive, and accountable frameworks to guide the future of AI governance globally.

Keywords: AI Governance, OECD Policy Analysis, National AI Strategies, Ethical AI, Policy Evaluation

How to Cite:

Alyoubi, H. A. & Alkhayat, H. H., (2025) “Mapping the Governance Landscape of Artificial Intelligence Through OECD Policy Analysis”, Artificial Intelligence in Learning 1(4), 329-345. doi: https://doi.org/10.63913/ail.v1i4.45