Examples of AI National Policies
EXAMPLES OF AI NATIONAL POLICIES
This report prepared by the OECD for the G20 Digital Economy Task Force details examples of national policies, strategies, and innovative practices from G20 and guest countries designed to implement the G20 AI Principles. It sets out rationales and illustrative actions for both values-based principles for trustworthy AI and recommendations for national policies and international cooperation. The compilation serves as a reference document to assist countries in shaping responsible stewardship, innovation, and governance for artificial intelligence.
Summary and content fields are drawn from the document text and are pending editorial review.
Who issued it
Who it governs
Policymakers, researchers, and international stakeholders looking for comparative insights and national examples of AI governance and policy implementation.
What the document contains
The document provides an overview of international policy debates on AI, details national policy examples from G20 and guest countries mapped against the G20 AI Principles, and outlines key recommendations for national policies and international cooperation.
It does not provide binding legislation, enforcement mechanisms, or direct prescriptive rules for individual private entities.
- G20 countries are actively experimenting with national strategies and policies to build trustworthy AI ecosystems.
- Most AI strategies address multiple G20 AI Principles simultaneously, highlighting their strong complementarity.
- Fewer policies currently place a primary focus on robustness, security, safety, and accountability compared to inclusive growth or human-centred values.
- Governments heavily leverage R&D investments, digital ecosystem development, and human capacity building to foster trustworthy AI.
- International cooperation and peer learning are vital for sharing experiences and shaping global directions for AI development.
· Executive summary · 1 Advancing the G20 AI Principles – rationales and illustrative actions · 2 Observations from existing policy approaches · Annex: The G20 AI Principles and key terms
How it scores
Each score is backed by a quote verified against the document text. Editorial review has not yet confirmed them.
Fairness
3/5Non-discrimination and equitable treatment
This principle also recognises that AI systems could perpetuate existing biases and have a disparate impact on vulnerable and underrepresented populations
1 Advancing the G20 AI Principles – rationales and illustrative actions
screening score · 2026-10-23
Human Oversight
3/5Humans remain in control of consequential decisions
To this end, AI actors should implement mechanisms and safeguards, such as capacity for human determination, that are appropriate to the context and consistent with the state of art.
1 Advancing the G20 AI Principles – rationales and illustrative actions
screening score · 2026-10-23
Enforcement
0/5Consequences and compliance mechanisms with real force
Executive summary
screening score · 2026-10-23